{"id":"W1671870335","doi":"10.1371/journal.pbio.1002216","title":"Where Next for Genetics and Genomics?","year":2015,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Wellcome Trust","keywords":"Biology; Genomics; Genetics; Evolutionary biology; Computational biology; Genome Biology; Human evolutionary genetics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002625393,0.000141365,0.0001708372,0.00004628808,0.00005598219,0.00003136649,0.0002308366,0.0002900839,0.000009965011],"category_scores_gemma":[0.0003235682,0.0001186218,0.00004979886,0.00003912775,0.0002928481,0.000002533044,0.0002357146,0.00007629173,0.00002533719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001525206,"about_ca_system_score_gemma":0.0001543195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006943398,"about_ca_topic_score_gemma":0.00003895727,"domain_scores_codex":[0.9989742,0.00004040814,0.0002303461,0.0002845234,0.00008708123,0.0003834148],"domain_scores_gemma":[0.9991693,0.00002929588,0.00005647363,0.0002656807,0.0001863083,0.0002928812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002903644,0.0001493061,0.008182473,0.0001853852,0.0001847054,0.000001430545,0.0002670029,0.00000493464,0.9123738,0.0003723131,0.02252076,0.05546749],"study_design_scores_gemma":[0.001833655,0.002551522,0.0005147844,0.00001200587,0.00003472672,0.00002077306,0.000436482,0.002088132,0.1216538,0.002139079,0.8683428,0.0003722178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830731,0.008735066,0.004648372,0.001051139,0.0002999026,0.0005563967,0.0001081,0.00001817689,0.00150981],"genre_scores_gemma":[0.9672781,0.00800921,0.0207164,0.001044518,0.001101687,0.00008823234,0.0004900235,0.00004239108,0.001229486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8458221,"threshold_uncertainty_score":0.4837255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05593527403408045,"score_gpt":0.304109778974602,"score_spread":0.2481745049405216,"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."}}