{"id":"W2117159564","doi":"10.3109/07853890.2015.1091943","title":"Assessing and targeting key lifestyle cardiovascular risk factors at the workplace: Effect on hemoglobin A1c levels","year":2015,"lang":"en","type":"article","venue":"Annals of Medicine","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Obesity Canada; Fonds de Recherche du Québec - Santé; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canadian Institutes of Health Research; Pfizer Foundation","keywords":"Prediabetes; Waist; Cardiorespiratory fitness; Medicine; Type 2 diabetes; Body mass index; Anthropometry; Physical therapy; Physical fitness; Diabetes mellitus; Gerontology; Environmental health; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007488307,0.0003726587,0.001376398,0.0001511504,0.0002018994,0.00002930087,0.000165084,0.0001782446,0.0000684261],"category_scores_gemma":[0.004959589,0.0002097331,0.0005888786,0.0003167252,0.0005077745,0.0001209153,0.0001237117,0.0004821905,0.00002916583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005326521,"about_ca_system_score_gemma":0.00007393867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168636,"about_ca_topic_score_gemma":0.00002255111,"domain_scores_codex":[0.9963591,0.0007605106,0.0004849599,0.0004863796,0.001417414,0.0004916302],"domain_scores_gemma":[0.9974,0.0006986148,0.0002388943,0.0009165872,0.0002903531,0.0004555633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008483813,0.0002218901,0.09684008,0.0008730193,0.008228316,0.000274634,0.004516399,0.0009300113,0.0007538223,0.00003128357,0.1030359,0.7834463],"study_design_scores_gemma":[0.01666384,0.006140952,0.4631345,0.003537846,0.004487976,0.0001662541,0.003886952,0.0001967197,0.06173331,0.000208909,0.4389578,0.0008848888],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496326,0.04264214,0.000121411,0.003310386,0.0004087549,0.0007057986,0.00001226304,0.00006713539,0.003099471],"genre_scores_gemma":[0.9966413,0.0008486097,0.0001017168,0.0007883264,0.001044294,0.00002062165,0.00003745481,0.00005566076,0.0004619842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7825614,"threshold_uncertainty_score":0.8552667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06971515466308248,"score_gpt":0.3278609533476274,"score_spread":0.258145798684545,"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."}}