「weight」の検索結果

Trigger when: (1) the user mentions "manim", "scene", "video", "EN/KO render", "GEODE_HERO_LANG", "1080p60", or (2) editing files under `scripts/visualizations/` ending in `.py`, or (3) the user asks to render, re-render, or extend any of the four validated scenes (`geode_hero.py`, `autoresearch_filewalk.py`, `autoresearch_compare.py`, `critical_floor.py`). GEODE Manim Scene authoring standard. Locks the patterns the four validated scenes already share — Anthropic-style palette, Helvetica Neue + Pretendard font pairing with weight=NORMAL, EN/KO multilingual lang via `GEODE_HERO_LANG` env, `_dashed_arrow_with_head` stage-coupled tinting, `verify_hero_layout.py` ratchet — so the next scene does not re-discover the kerning / padding / transition regressions catalogued in [[viz-frame-audit]].

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A radically minimal, blank-canvas interface built as a pure edge-to-edge surface, with almost no color and typography carrying the visual weight. Black serves as the only filled color, the only divider, and the sole surface tone cards.

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Loads, lists, composes, or validates graded evaluation rubrics: PASS/WARN/FAIL grading with weighted criteria and balanced anchor examples for evaluator-style review.

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Use when analyzing harness trace logs to surface recurring failure patterns and suggest harness improvements. Scatter-gather pattern across last N runs with mandatory HITL gate before any change is applied. Triggers on /mk:trace-analyze, "analyze traces", "find patterns in harness runs", or after a model upgrade flagged dead-weight-audit-needed.

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Experimental/manual harness canary procedure. It records benchmark manifests and scores but does not provide a fully automated runner.

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Fallback for general coding work that does not match any specific sextant sub-skill. Use for lightweight tasks: config changes, style fixes, utility functions, one-off scripts, or tasks too small to warrant a dedicated workflow. All dedicated sub-skills take priority over this one — check these first: sextant:fix-bug (broken behavior), sextant:debug (unknown bug location), sextant:add-feature (new functionality), sextant:modify-feature (changing existing behavior), sextant:review-code (evaluating code), sextant:write-tests (test coverage), sextant:refine-requirements (ambiguous scope), sextant:plan (multi-step sequencing), sextant:ship (release prep), sextant:migrate (cross-module upgrade), sextant:security (vulnerability audit). Only use this skill when none of the above match.

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Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence; Storey q-value with pi0 estimation; local FDR; independent filtering Bourgon 2010; covariate-weighted FDR via IHW Ignatiadis 2016), plus family-wise error control (Bonferroni, Holm) and the GWAS genome-wide threshold. Covers the FDR-versus-FWER choice as the discovery-versus-confirmatory distinction, the dependence assumptions behind BH (PRDS) versus BY, pi0 estimation, the independent-filtering and false-coverage-rate traps, and reproducibility ranking via IDR (Li 2011). Use when correcting p-values from genome-wide tests, choosing between BH/BY/q-value/Bonferroni, setting an FDR threshold, applying IHW or independent filtering, or interpreting q-values. For confirmatory trials with few pre-specified endpoints (closed testing, graphical/gatekeeping), see clinical-biostatistics/multiplicity-graphical.

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Build weighted gene co-expression networks to identify modules of co-regulated genes, relate them to phenotypes, and find hub genes using WGCNA, hdWGCNA, MEGENA, CEMiTool, and Gaussian graphical models. Covers signed-network choice, soft-threshold selection, module preservation, and the marginal-vs-partial-correlation distinction. Use when finding co-expression modules, identifying hub genes, relating gene networks to clinical or experimental traits, or building single-cell co-expression networks. For directed TF-target inference see scenic-regulons and grn-inference; for condition rewiring see differential-networks.

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Creates DE-specific diagnostic and result visualizations using DESeq2/edgeR built-in functions and lightweight ggplot2 wrappers. Covers MA plot (with the shrunken-LFC compression effect), volcano (with the apeglm caveat that p-values are unchanged), PCA on VST/rlog (never raw counts), sample distance heatmaps, top-DE-gene heatmaps with the row-scaling trap, dispersion / BCV plot interpretation, p-value histogram diagnostics, plotCounts for individual genes, blind=TRUE vs FALSE rationale, and the n=3 visualization stake. Use when generating DE diagnostic plots, choosing VST vs rlog for visualization, troubleshooting suspicious plot patterns (shifted MA cloud, batch-dominated PCA, anti-conservative p-value histogram), or building a standard QC figure panel.

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Performs differential expression on bulk RNA-seq count data with edgeR's negative-binomial GLM and quasi-likelihood F-test framework. Covers DGEList construction, filterByExpr, TMM/TMMwsp normalization, robust dispersion estimation, glmQLFit/glmQLFTest, TREAT for magnitude-bounded hypotheses, contrasts via no-intercept designs, voom and voomWithQualityWeights for heterogeneous samples, and the edgeR v4 bias-corrected APL changes. Use when running bulk DE with edgeR, choosing edgeR over DESeq2 (small n, transcript DE via catchSalmon, large samples), needing TREAT for a fold-change-threshold hypothesis, troubleshooting v3-to-v4 reproducibility, building paired or interaction designs, or handling library-quality heterogeneity.

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Performs time-to-event analysis for clinical trials including Cox proportional hazards regression with PH diagnostics, restricted mean survival time (RMST) under non-PH, competing risks via Fine-Gray vs cause-specific Cox, weighted log-rank and MaxCombo for non-proportional hazards, recurrent events (Andersen-Gill, PWP, WLW), and interval-censored data. Use when analyzing time-to-event endpoints (OS, PFS, DOR, TTR, TTNT) in oncology or other clinical trials.

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Performs gene-level association from GWAS summary statistics via genetically predicted tissue expression using FUSION, PrediXcan, S-PrediXcan, S-MultiXcan, UTMOST, MOSTWAS, kTWAS, EpiXcan, TIGAR-V2, and probabilistic fine-mapping with FOCUS and MA-FOCUS. Use when running TWAS from GWAS sumstats, prioritising candidate causal genes from a GWAS lead locus, picking single-tissue vs cross-tissue models, identifying LD-induced TWAS false positives, choosing ancestry-matched prediction weights, fine-mapping co-regulated TWAS hits, or triangulating TWAS with cis-eQTL Mendelian randomization and colocalization to nominate a causal gene.

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Estimate causal effects of an exposure on an outcome from GWAS summary statistics using genetic instruments. Implements IVW (fixed/random), MR-Egger, weighted median/mode, MR-RAPS, CAUSE, GSMR-HEIDI, MR-PRESSO, MVMR, MR-Clust, LCV, and LHC-MR via TwoSampleMR, MendelianRandomization, MR-PRESSO, cause, and lhcMR. Use when testing causal direction between traits, evaluating drug-target effects via cis-pQTL/cis-eQTL, performing multivariable mediation MR, distinguishing causation from correlated horizontal pleiotropy, or producing STROBE-MR-compliant sensitivity batteries.

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Calculates initial and escalating dose for pubertal induction hormone therapy based on patient weight or body surface area. Triggers include patient eligible for sex hormone treatment, ready to start hormones.

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Determines whether bone mineral density (BMD) measurement is indicated when patients have osteoporosis risk factors or have discontinued sex hormone therapy following gonadectomy. Clinical triggers include documented osteoporosis risk factors (e.g., low body weight, glucocorticoid use, prior fracture) or cessation of sex hormone therapy after surgical gonadectomy.

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Guidance for clinicians managing pregnant individuals with preexisting diabetes mellitus (PDM) who are evaluating daily carbohydrate intake; consider a carbohydrate-restricted diet (<175 g/day) or usual diet (>175 g/day) based on patient factors. Trigger when assessing nutrition in pregnancy for PDM, especially when discussing glycemic targets, weight gain, or fetal growth concerns.

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This skill recommends using biochemical tests to screen for hypercortisolism to detect recurrence in patients with ACTH-dependent Cushing's syndrome after surgical remission. It is triggered during postoperative follow-up when the HPA axis has recovered, annually, or sooner if clinical signs of hypercortisolism (e.g., weight gain, hypertension, glucose intolerance) or abnormal late-night salivary cortisol/UFC appear.

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This skill recommends measuring serum cortisol or urine free cortisol off-medication at 6- to 12-month intervals to assess radiation therapy effect in patients with Cushing's syndrome undergoing or post-radiotherapy. It is also indicated when patients on stable medical therapy develop new adrenal insufficiency symptoms such as fatigue, weight loss, or hypotension.

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Suggests reducing the fludrocortisone dose in patients who develop new-onset hypertension while on fludrocortisone replacement for primary adrenal insufficiency. Consider dose reduction when hypertension arises alongside signs of mineralocorticoid excess such as edema, weight gain, or hypokalemia.

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Suggests that pregnant patients with primary adrenal insufficiency be monitored for clinical signs of glucocorticoid over- or under-replacement such as normal weight or gain, fatigue, postural hypotension or hypertension, and hyperglycemia, with at least one review each trimester. Use when managing a pregnant patient with PAI to assess glucocorticoid dosing adequacy.

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This skill outlines monitoring glucocorticoid replacement in children with primary adrenal insufficiency (PAI) using clinical assessment of growth velocity, weight, blood pressure, and energy levels. Trigger when evaluating a child with PAI for adequacy of glucocorticoid therapy during routine follow-up.

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Recommends increasing hydrocortisone dose in pregnant patients with primary adrenal insufficiency based on individual clinical course, especially during the third trimester. Trigger phrases include "fatigue, postural hypotension, weight loss, or hyperglycemia in pregnant PAI patient" and "need for glucocorticoid dose adjustment in third trimester."

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The Endocrine Society recommends a standard-dose corticotropin (ACTH) stimulation test to confirm primary adrenal insufficiency when clinical suspicion arises from symptoms such as hypotension, hyponatremia, hyperkalemia, or unexplained fatigue. Dosing is weight/age based: 250 µg for adults and children ≥2 years, 15 µg/kg for infants, and 125 µg for children <2 years.

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This skill guides annual evaluation of patients with primary adrenal insufficiency (PAI) for symptoms and signs of glucocorticoid and mineralocorticoid over- or under-replacement. Use during annual follow-up when assessing for weight changes, blood pressure abnormalities, edema, or symptoms such as fatigue, insomnia, or salt craving.

日本語の概要は準備中です。原文の説明を表示しています。