{"id":"W2049443570","doi":"10.1186/gm375","title":"The future of deciphering personal genomes? The flies (and yeast and worms) still have it","year":2012,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Systems biology; Human genetics; Biology; Evolutionary biology; Zoology; Computational biology; Data science; Genetics; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007311571,0.0001201484,0.0001369874,0.0000216658,0.0001537329,0.00001541939,0.0001895153,0.00008618242,0.00003283296],"category_scores_gemma":[0.00009625956,0.00005696596,0.00003560703,0.00005193668,0.0008810784,0.000003757445,0.0002238869,0.0001230751,0.000002870615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007118189,"about_ca_system_score_gemma":0.0000312387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001005372,"about_ca_topic_score_gemma":0.00004001713,"domain_scores_codex":[0.9990208,0.00002903523,0.0002178889,0.0001193273,0.0002804489,0.0003325545],"domain_scores_gemma":[0.9994276,0.00004407487,0.00006672097,0.0002100486,0.00007291758,0.000178683],"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":[0.0003630909,0.00009552127,0.03225872,0.0005078997,0.0005620655,0.000002877921,0.03267459,0.0000033845,0.3541066,0.0002971481,0.01107014,0.5680579],"study_design_scores_gemma":[0.0005948835,0.0003500226,0.04226112,0.00002507886,0.00003478906,0.00003989784,0.01487462,0.0001291511,0.001782062,0.00004316431,0.939739,0.0001261398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8834895,0.1068304,0.0003855037,0.00724825,0.0003271888,0.0002692969,0.00002227573,0.000004377661,0.001423133],"genre_scores_gemma":[0.9732308,0.0233365,0.0002125778,0.0004824344,0.001608621,0.000008178973,0.00002320584,0.00001013577,0.001087596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9286689,"threshold_uncertainty_score":0.324637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488416815331748,"score_gpt":0.2674643845634774,"score_spread":0.2525802164101599,"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."}}