{"id":"W2495732103","doi":"10.1097/01.hjh.0000491906.02911.31","title":"[PP.LB01.14] PREDICTIVE VALUES FOR OBESITY AND DIABETES IN PRIMARY CARE","year":2016,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Body mass index; Obesity; Diabetes mellitus; Blood pressure; Internal medicine; Medical record; Physical therapy; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930391,0.001185014,0.001064786,0.003382317,0.0004225983,0.001528835,0.001115915,0.00146329,0.2467972],"category_scores_gemma":[0.005976023,0.0003467585,0.0006058554,0.002595206,0.0006211702,0.001172667,0.000487086,0.001530235,0.1131181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006132658,"about_ca_system_score_gemma":0.0005317777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00412127,"about_ca_topic_score_gemma":0.004412781,"domain_scores_codex":[0.9991851,0.0003791797,0.00007718202,0.00009907939,0.0001844484,0.00007492161],"domain_scores_gemma":[0.9929997,0.003705511,0.0005356095,0.000203772,0.001968358,0.0005871229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006851357,0.0002047354,0.02351424,0.0004987447,0.00008047428,0.0003336856,0.00003256836,0.0001814313,0.0004126274,0.000575804,0.8385802,0.1349003],"study_design_scores_gemma":[0.0006050646,0.001306202,0.2853164,0.004150372,0.0001836344,0.003065785,0.0001793306,0.002716526,0.0003247439,0.005224041,0.6968169,0.0001111094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03354868,0.1264489,0.00664688,0.1383954,0.1974418,0.001983412,0.05496059,0.002153426,0.4384209],"genre_scores_gemma":[0.06732007,0.03979126,0.007830151,0.05293365,0.2475042,0.002649692,0.04363057,0.0008820432,0.5374584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2467972,"threshold_uncertainty_score":0.825619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03439840202648208,"score_gpt":0.2798462336455478,"score_spread":0.2454478316190657,"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."}}