{"id":"W3137181410","doi":"10.1007/978-1-0716-0947-7_11","title":"Brief Survey on Machine Learning in Epistasis","year":2021,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; Krembil Foundation","funders":"","keywords":"Epistasis; Machine learning; Artificial intelligence; Computer science; Genome-wide association study; Chromosome; Gene; Computational biology; Biology; Genetics","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":[0.002174239,0.001282518,0.002133502,0.003525267,0.0002936384,0.001590432,0.001251255,0.001557759,0.006271745],"category_scores_gemma":[0.005236191,0.0004906932,0.0009113342,0.005491586,0.001038917,0.002485767,0.001025451,0.002764805,0.003310459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250713,"about_ca_system_score_gemma":0.001605299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001999601,"about_ca_topic_score_gemma":0.002822739,"domain_scores_codex":[0.9993871,0.0002257815,0.00007331724,0.0001122602,0.0001709628,0.00003050796],"domain_scores_gemma":[0.9961224,0.003072511,0.0001459271,0.000102373,0.0004473588,0.000109407],"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":[0.00006459515,0.000104231,0.0002468779,0.01077617,0.0002040794,0.00009481417,0.0000443479,0.001576917,0.0005320224,0.01715532,0.1188864,0.8503143],"study_design_scores_gemma":[0.00002887469,0.00007599977,0.0008604822,0.004337534,0.0001532974,0.0003917991,0.00002252343,0.001059773,0.0002542489,0.01816803,0.9746075,0.00003991177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006111367,0.9946396,0.002240898,0.0009697402,0.0008652004,0.000006094032,0.00005229428,0.00002244643,0.001142741],"genre_scores_gemma":[0.0007318422,0.9918092,0.002390579,0.001025234,0.002655612,0.0000174933,0.0001208501,0.00001332208,0.001235926],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006271745,"threshold_uncertainty_score":0.02098107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07808675404122073,"score_gpt":0.4625526441932539,"score_spread":0.3844658901520332,"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."}}