{"id":"W3158526143","doi":"10.1002/gepi.22383","title":"The Translational Machine: A novel machine‐learning approach to illuminate complex genetic architectures","year":2021,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Waypoint Centre for Mental Health Care; University of Toronto","funders":"","keywords":"Interpretability; Computer science; Artificial intelligence; Machine learning; Pipeline (software); Genetic architecture; Feature (linguistics); Feature selection; Population; Data mining; Quantitative trait locus","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":[0.002593071,0.001093575,0.001014759,0.001963223,0.0005665241,0.001775383,0.001609592,0.0008457872,0.003406709],"category_scores_gemma":[0.007393384,0.0003794761,0.001679951,0.001632077,0.001387191,0.00144931,0.002023882,0.002083425,0.0009482368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006842506,"about_ca_system_score_gemma":0.001322679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606564,"about_ca_topic_score_gemma":0.001976697,"domain_scores_codex":[0.998871,0.0005499703,0.00004471899,0.0002855928,0.0001842825,0.00006427999],"domain_scores_gemma":[0.996775,0.002064846,0.0002672328,0.0005969489,0.0001945868,0.0001014096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003657636,0.0002391696,0.01332875,0.0004441083,0.0006489185,0.0005490354,0.0005677627,0.1649338,0.02217279,0.1615076,0.01228943,0.6229529],"study_design_scores_gemma":[0.0000355706,0.0001410475,0.002431305,0.00003922555,0.00007221058,0.0002078401,0.00005393015,0.7825792,0.003284837,0.2034289,0.007674917,0.00005093674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006073214,0.0002151144,0.9909502,0.0004091875,0.00004700272,0.000030991,0.0002971777,0.001210736,0.000766393],"genre_scores_gemma":[0.2334304,0.000618272,0.7596154,0.0007614775,0.0003654361,0.0002994391,0.001216076,0.0006663791,0.003027132],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003406709,"threshold_uncertainty_score":0.01371366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03420251048661162,"score_gpt":0.2902367084708524,"score_spread":0.2560341979842408,"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."}}