{"id":"W3204449925","doi":"10.1002/sim.9211","title":"Two‐phase sample selection strategies for design and analysis in post‐genome‐wide association fine‐mapping studies","year":2021,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto; University Health Network","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; Terveyden ja hyvinvoinnin laitos; Oulun Yliopisto; Government of Ontario; Broad Institute; Compute Canada; University of Toronto; Ontario Institute for Cancer Research","keywords":"Selection (genetic algorithm); Sample (material); Computer science; Sample size determination; Genome-wide association study; Genetic association; Association (psychology); Statistics; Biology; Genetics; Mathematics; Artificial intelligence; Psychology; Single-nucleotide polymorphism; Genotype; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04902606,0.001986211,0.001620989,0.001616044,0.0006565211,0.00136051,0.002445796,0.002403654,0.004456837],"category_scores_gemma":[0.09202525,0.001076302,0.001622969,0.001223585,0.001767638,0.001333732,0.002005683,0.002398645,0.001018421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009774761,"about_ca_system_score_gemma":0.003504249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006478633,"about_ca_topic_score_gemma":0.0008435723,"domain_scores_codex":[0.9553318,0.03838793,0.0009552073,0.002039607,0.00287328,0.0004120687],"domain_scores_gemma":[0.9481016,0.04137597,0.002428096,0.004207969,0.003349692,0.0005366629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004542456,0.001454963,0.006220768,0.001580748,0.001115924,0.0003639914,0.001001127,0.2621728,0.01283234,0.2059367,0.004767764,0.4980105],"study_design_scores_gemma":[0.003836966,0.005004409,0.003127099,0.0002804464,0.0003669354,0.0002199796,0.000144729,0.8154522,0.01004241,0.1463085,0.01505733,0.0001590778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00311744,0.0001122243,0.9951736,0.00007544795,0.00003831733,0.001063102,0.00003375461,0.0001482664,0.0002377325],"genre_scores_gemma":[0.05519979,0.0001254844,0.9384028,0.0002149585,0.00004587554,0.005385867,0.0001289926,0.00006834946,0.0004278565],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04902606,"threshold_uncertainty_score":0.2592776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981557015360321,"score_gpt":0.3370308187222602,"score_spread":0.307215248568657,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}