{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01048304,0.0009284958,0.001213378,0.001336643,0.001934053,0.006214188,0.001556438,0.00459428,0.01713413],"category_scores_gemma":[0.01233256,0.0004882228,0.0006972001,0.001572161,0.007096001,0.0290108,0.003114254,0.007648548,0.00745585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160188,"about_ca_system_score_gemma":0.002990587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003189049,"about_ca_topic_score_gemma":0.003248192,"domain_scores_codex":[0.9983824,0.0005794718,0.00006121839,0.0002663684,0.0005636464,0.0001468948],"domain_scores_gemma":[0.9872837,0.005660383,0.0004118863,0.002570117,0.002407958,0.001665842],"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":[0.0005061413,0.00009525123,0.001688264,0.001291062,0.0001244382,0.0002082078,0.001773106,0.0013367,0.008273582,0.2361048,0.2448547,0.5037438],"study_design_scores_gemma":[0.00002458373,0.0000769305,0.0011159,0.0005507701,0.00003680908,0.0004071343,0.00153376,0.0009247987,0.001643506,0.2509344,0.742671,0.00008042848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007184066,0.3042955,0.07966448,0.5677148,0.009430854,0.00003787866,0.001835357,0.001758092,0.02807891],"genre_scores_gemma":[0.1884381,0.4289589,0.196445,0.1055696,0.01583349,0.0002892909,0.004526448,0.001223774,0.05871548],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01713413,"threshold_uncertainty_score":0.0573194,"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."}}