{"id":"W2526303269","doi":"10.1016/j.cjca.2016.07.321","title":"EXPLORING THE DIABETIC DIVIDE: EXCESS BURDEN OF NON-TRADITIONAL CARDIOVASCULAR RISK FACTORS AMONG DIABETIC WOMEN WITH PREMATURE ACUTE CORONARY SYNDROME, THE GENESIS-PRAXY COHORT","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Psychosocial; Acute coronary syndrome; Diabetes mellitus; Cohort; Internal medicine; Cohort study; Risk factor; Endocrinology; Psychiatry; Myocardial infarction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003955992,0.0002496736,0.001140625,0.0002437898,0.0002862493,0.00001873424,0.0003682739,0.0001602936,0.00005150389],"category_scores_gemma":[0.0002223891,0.0001179717,0.0008713244,0.0002743463,0.0006100226,0.000232761,0.00002604589,0.0005564252,0.000005782186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017794,"about_ca_system_score_gemma":0.001105605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005718535,"about_ca_topic_score_gemma":0.00006840554,"domain_scores_codex":[0.9962749,0.001616515,0.0006072132,0.0002616688,0.0006347524,0.0006049037],"domain_scores_gemma":[0.9975241,0.0002850768,0.0003627637,0.0006959946,0.0004175614,0.0007144422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009485313,0.00001170782,0.9416579,0.0002128076,0.02462341,0.001387573,0.002361203,0.004481121,0.0001937087,0.00001699907,0.0006319624,0.02432676],"study_design_scores_gemma":[0.001283094,0.0005656167,0.9892674,0.0003580226,0.002142563,0.002950716,0.0007155085,0.000004103609,0.00006452503,0.000106334,0.002396086,0.0001460453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887807,0.001528036,0.007381252,0.0006522628,0.0007242893,0.0007166776,0.00007920903,0.00000881457,0.0001287628],"genre_scores_gemma":[0.9979733,0.001104382,0.00002236845,0.0000434843,0.0006358824,0.0001200223,0.000009833991,0.00003967656,0.00005102813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04760949,"threshold_uncertainty_score":0.4810746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02843365731079066,"score_gpt":0.2279615221354424,"score_spread":0.1995278648246518,"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."}}