{"id":"W2795300584","doi":"10.1136/bmjopen-2017-018324","title":"GCAT|Genomes for life: a prospective cohort study of the genomes of Catalonia","year":2018,"lang":"en","type":"article","venue":"BMJ Open","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Barcelona Supercomputing Center; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Generalitat de Catalunya; Departament d'Universitats, Recerca i Societat de la Informació; Instituto de Salud Carlos III; McGill University Health Centre; Centres de Recerca de Catalunya; McGill University","keywords":"Medicine; Overweight; Epidemiology; Cohort; Anthropometry; Prospective cohort study; Cohort study; Public health; Body mass index; European Prospective Investigation into Cancer and Nutrition; Gerontology; Environmental health; Demography; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002358916,0.00009076964,0.0001770397,0.00001671469,0.00008248087,0.00001654728,0.0004769308,0.00004548188,0.00001852307],"category_scores_gemma":[0.0001020786,0.00006912873,0.00006923049,0.00006544384,0.0001420534,0.000002952715,0.0003583765,0.00001734829,0.000001984846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007469625,"about_ca_system_score_gemma":0.0002325479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001116545,"about_ca_topic_score_gemma":0.0004175219,"domain_scores_codex":[0.9992481,0.00004598975,0.0002252531,0.0002517787,0.0001120243,0.000116871],"domain_scores_gemma":[0.9989144,0.000007889707,0.0001530747,0.0005817813,0.0002885266,0.00005438116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008224202,0.0007814368,0.957146,0.00007694225,0.0002429552,2.451284e-7,0.0005316258,0.000003565631,0.03555629,0.00006332483,0.004560028,0.0002151316],"study_design_scores_gemma":[0.002734452,0.001851088,0.8634363,0.00002027934,0.0001253228,0.000001762482,0.0009408679,0.000006229939,0.1250167,0.0004504551,0.005240645,0.0001757913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893468,0.000422853,0.00003418971,0.0000641572,0.0001027135,0.008838546,0.0001553037,0.000002162283,0.001033248],"genre_scores_gemma":[0.9976543,0.00001903451,0.0002890481,0.00009201601,0.0002272813,0.001009311,0.00004478133,0.00001419907,0.0006500753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09370968,"threshold_uncertainty_score":0.2818988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02760064086510767,"score_gpt":0.3511551592003117,"score_spread":0.323554518335204,"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."}}