{"id":"W1841705148","doi":"","title":"Prediabetes and type 2 diabetes mellitus: assessing risks for physical activity clearance and prescription.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prediabetes; Incidence (geometry); Medicine; Diabetes mellitus; Medical prescription; Type 2 Diabetes Mellitus; Type 2 diabetes; Adverse effect; Intensive care medicine; Environmental health; Internal medicine; Endocrinology; Pharmacology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030632,0.00056082,0.0007313315,0.001612761,0.0004233497,0.0008901474,0.0006084432,0.0009913354,0.00175695],"category_scores_gemma":[0.008399547,0.0003334282,0.0009478963,0.001909432,0.0001856745,0.0007033407,0.0006862238,0.001166315,0.0005677327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003554666,"about_ca_system_score_gemma":0.0008606082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004466794,"about_ca_topic_score_gemma":0.008196387,"domain_scores_codex":[0.9979458,0.000982958,0.0003730731,0.0001137477,0.0004941775,0.00009018904],"domain_scores_gemma":[0.9962768,0.0009048284,0.00181446,0.00017396,0.0003230089,0.0005069072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002234436,0.0001498749,0.982457,0.00009838969,0.0002161633,0.0000394299,0.00004470964,0.0001451706,0.00003014981,0.00007570257,0.0006268307,0.01589316],"study_design_scores_gemma":[0.00002063958,0.0002632659,0.9965952,0.00007802463,0.0001706596,0.0002440916,0.000108806,0.0006888856,0.00005046593,0.0001897083,0.001578713,0.00001153757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9450968,0.02704543,0.002680584,0.002678261,0.0002781388,0.0003889424,0.008337664,0.0001189034,0.0133753],"genre_scores_gemma":[0.982699,0.006373585,0.004316838,0.0004275269,0.0001605832,0.0003175102,0.003756112,0.00001389185,0.001934945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004466794,"threshold_uncertainty_score":0.01619995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056327402157213,"score_gpt":0.2857932598098405,"score_spread":0.2352299857882684,"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."}}