{"id":"W1964735403","doi":"10.1038/nrg1318","title":"The Bayesian revolution in genetics","year":2004,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":523,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Bayesian probability; Bayesian statistics; Biology; Computational biology; Statistical genetics; Variable-order Bayesian network; Bayes' theorem; Computer science; Bayesian inference; Evolutionary biology; Data science; Machine learning; Artificial intelligence; Genetics; Genomics; Genome; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007538712,0.0005961942,0.001143423,0.0001025756,0.0002361753,0.00008566583,0.000903623,0.001481274,0.00001098396],"category_scores_gemma":[0.0001857363,0.0003977573,0.0006490996,0.0003370327,0.0001167772,0.000001499833,0.000291274,0.0009291933,0.0000708201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008065826,"about_ca_system_score_gemma":0.0004148954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000412521,"about_ca_topic_score_gemma":0.00006581515,"domain_scores_codex":[0.9971977,0.0003630846,0.0009128097,0.0007129248,0.0002610085,0.0005525046],"domain_scores_gemma":[0.9982881,0.00004218831,0.0004790213,0.0009765493,0.00007709851,0.0001370541],"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":[0.000004817474,0.00003846411,0.00002370769,0.004995851,0.00005982699,0.000007436218,0.000009415064,0.00001308156,0.00001529158,0.00008662415,0.007938013,0.9868075],"study_design_scores_gemma":[0.0001681118,0.0001021075,0.00001593896,0.00568085,0.0002574445,0.00005692926,0.000007194388,0.000003963539,0.00001166981,0.00008355378,0.993145,0.0004671629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007624812,0.997046,0.0001285287,0.00004064968,0.0006168979,0.001184162,0.00006562207,0.00001009845,0.0009004085],"genre_scores_gemma":[0.00002633799,0.9967149,0.001116125,0.0001232708,0.0005894034,0.00006192191,0.0003413522,0.00005009292,0.0009766275],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9863403,"threshold_uncertainty_score":0.9998474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420992243567337,"score_gpt":0.3168295607907124,"score_spread":0.292619638355039,"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."}}