{"id":"W2088222932","doi":"10.1111/j.1399-0004.2009.01255.x","title":"Genetic gains on the obesity and metabolic disease fronts","year":2009,"lang":"en","type":"article","venue":"Clinical Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Obesity; Disease; Metabolic disease; Genetics; Biology; Medicine; Bioinformatics; Internal medicine; Endocrinology","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":[0.0005372798,0.0001696676,0.0002362156,0.00001756473,0.0001519193,0.00002003256,0.0002429963,0.0001949307,0.00002678657],"category_scores_gemma":[0.00101862,0.0001216303,0.0001480054,0.00005698868,0.0001790974,8.277183e-7,0.00009549033,0.000163098,0.00003629478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004447955,"about_ca_system_score_gemma":0.00006436105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002086216,"about_ca_topic_score_gemma":0.000005970128,"domain_scores_codex":[0.9983848,0.0003509231,0.000424714,0.0004350739,0.0001102439,0.0002941827],"domain_scores_gemma":[0.9988148,0.0001513774,0.0001249062,0.0005952094,0.0000634828,0.0002502631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001342087,0.0005080859,0.9299732,0.000003971527,0.0001121941,0.000005930639,0.00002567339,0.0004067856,0.001191668,0.0006826055,0.02676369,0.04019203],"study_design_scores_gemma":[0.0003091126,0.0003700462,0.973198,0.000003816438,0.00005625578,0.000001605589,0.00001582465,0.0004817742,0.0001440811,0.002564386,0.02269973,0.0001553645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912676,0.00400996,0.000919004,0.002695982,0.0001964255,0.0002243918,0.00001932911,0.00001038856,0.0006569799],"genre_scores_gemma":[0.9832997,0.005571655,0.001820677,0.008314142,0.0005754879,0.0000100887,0.00001935899,0.00001307354,0.0003758073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04322485,"threshold_uncertainty_score":0.4959939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05284620893641143,"score_gpt":0.3591266099485614,"score_spread":0.30628040101215,"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."}}