{"id":"W4410629958","doi":"10.1152/physrev.00025.2024","title":"Deconstructing the GWAS library: next-generation GWAS","year":2025,"lang":"en","type":"review","venue":"Physiological Reviews","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Ministry of Health -Singapore","keywords":"Genome-wide association study; Computational biology; Identification (biology); Disease; Genetic association; Genetic architecture; Mechanism (biology); Genetic variants; Biology; Bioinformatics; Single-nucleotide polymorphism; Medicine; Genetics; Phenotype; Gene; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008497315,0.00117418,0.002844509,0.00345927,0.0003252742,0.002618352,0.001871021,0.00187116,0.006454668],"category_scores_gemma":[0.01438714,0.0005836129,0.001756388,0.002726889,0.0008616232,0.001742365,0.001617842,0.003805474,0.003204176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009944779,"about_ca_system_score_gemma":0.002319091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733813,"about_ca_topic_score_gemma":0.003514926,"domain_scores_codex":[0.9974898,0.001387853,0.0001796305,0.0002564727,0.000595046,0.00009117254],"domain_scores_gemma":[0.9899057,0.007985932,0.000284561,0.0003934528,0.00112532,0.0003051928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001355152,0.00005020091,0.001143541,0.006739539,0.0009300274,0.0002437618,0.00008106643,0.001023073,0.0009225097,0.01159226,0.05447201,0.9226665],"study_design_scores_gemma":[0.0001541538,0.0002220949,0.005123992,0.009452836,0.00117519,0.001701868,0.0001602411,0.00211189,0.001555835,0.06057598,0.9176283,0.0001375656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009613322,0.9429129,0.03493594,0.0112089,0.002895019,0.000118931,0.001112558,0.0007056815,0.005148652],"genre_scores_gemma":[0.006426908,0.9499805,0.02715927,0.009236649,0.002256074,0.0002321758,0.001644316,0.0001431802,0.002920869],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008497315,"threshold_uncertainty_score":0.04493862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825099070823725,"score_gpt":0.3774976393222587,"score_spread":0.1949877322398862,"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."}}