{"id":"W2788314768","doi":"10.1038/nrg.2018.7","title":"Heritable contributions versus genetic architecture","year":2018,"lang":"en","type":"review","venue":"Nature Reviews Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; McGill University; McGill University Health Centre","funders":"Medical Research Council; Wellcome Trust","keywords":"Biology; Genetic architecture; Evolutionary biology; Architecture; Computational biology; Genetics; Phenotype; 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":[0.0004888639,0.0008774324,0.001842914,0.0001047304,0.0001990128,0.00009580148,0.0009709943,0.002731549,0.00006383975],"category_scores_gemma":[0.0002140393,0.0006863835,0.001160746,0.0003721224,0.0001803982,0.000002186295,0.0004313915,0.001347134,0.0003514098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007892345,"about_ca_system_score_gemma":0.0004448008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.434249e-7,"about_ca_topic_score_gemma":0.00002409532,"domain_scores_codex":[0.9967328,0.0002935239,0.001225429,0.0007791705,0.0002341753,0.0007348865],"domain_scores_gemma":[0.9971378,0.00004811501,0.0007351317,0.001607653,0.0002004187,0.0002709132],"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":[0.0000141634,0.00002738969,3.104576e-7,0.004214407,0.0002637272,0.000002531578,0.000006193614,0.000005140519,0.000006542706,0.00004610979,0.06742134,0.9279922],"study_design_scores_gemma":[0.0003741881,0.0002818718,4.340118e-7,0.00241703,0.0009586503,0.00008672543,0.000001639574,0.000009021024,0.00001212779,0.00007526093,0.9950451,0.0007379678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001570342,0.9916008,0.002491746,0.00002328072,0.001905061,0.001797083,0.0003849286,0.00002270175,0.001772796],"genre_scores_gemma":[0.000001916669,0.9828503,0.01038217,0.0002490721,0.003676725,0.0001869714,0.001673178,0.0001208136,0.0008588526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9276237,"threshold_uncertainty_score":0.9995587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120952128699762,"score_gpt":0.332449808062227,"score_spread":0.3112402867752294,"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."}}