{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005418569,0.0003099703,0.000289575,0.0007252966,0.001174371,0.001242741,0.0004727591,0.000511263,0.001390067],"category_scores_gemma":[0.001395057,0.0004171119,0.0004715044,0.001032865,0.000367094,0.000647344,0.001322681,0.0009634959,0.0001704546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003061208,"about_ca_system_score_gemma":0.0006416647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715606,"about_ca_topic_score_gemma":0.03664644,"domain_scores_codex":[0.9997181,0.00006907991,0.00001783476,0.00008053293,0.00004785454,0.00006650932],"domain_scores_gemma":[0.9995733,0.00004722342,0.0001254706,0.00007401474,0.00003048799,0.0001494885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001468633,0.00004488081,0.9980585,0.000002702187,0.00004605923,0.0001113413,0.0003106466,0.0000121334,0.000263747,0.00009908524,0.0001298475,0.0007741851],"study_design_scores_gemma":[0.00001468127,0.00005980136,0.9979085,0.000004014171,0.00006099067,0.0001976371,0.001198441,0.0001345801,0.00003954465,0.00009266917,0.0002853636,0.000003790464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991874,0.0001268582,0.00005154703,0.00009136743,0.000006332033,0.000005087805,0.0002061368,0.000001295817,0.0003239584],"genre_scores_gemma":[0.9991523,0.0001366421,0.00006810026,0.00006877775,0.00001465852,0.000007908946,0.0002400623,0.000002399602,0.0003092347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715606,"threshold_uncertainty_score":0.05399597,"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."}}