{"id":"W2979877186","doi":"10.1016/j.cjca.2019.07.446","title":"UNDERSTANDING RELATIONSHIPS IN TEMPORAL TRENDS OF HOSPITALIZATIONS FOR CARDIOVASCULAR DISEASES, STROKE AND VASCULAR COGNITIVE IMPAIRMENT FROM 2007 TO 2017","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Stroke (engine); Cohort; Population; Coronary artery disease; Disease; Heart failure; Gerontology; Emergency medicine; Pediatrics; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001046758,0.0001897413,0.0002550183,0.001867447,0.0003927757,0.00100895,0.0006459816,0.0005095213,0.002634891],"category_scores_gemma":[0.005567955,0.0002369868,0.001037717,0.002858671,0.0002240533,0.0009988196,0.0009219794,0.001218904,0.0003205864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146026,"about_ca_system_score_gemma":0.003139115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2631549,"about_ca_topic_score_gemma":0.3967509,"domain_scores_codex":[0.9992342,0.0000905782,0.0001322627,0.0001729828,0.0001268133,0.0002431481],"domain_scores_gemma":[0.9965945,0.000689143,0.001331319,0.0001487942,0.0008668653,0.0003693088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005131364,0.00001455326,0.994045,0.00003114072,0.000142601,0.00003119815,0.0001242434,0.0001475582,0.00004315898,0.0002433721,0.001345309,0.003780563],"study_design_scores_gemma":[0.000002832079,0.00001757908,0.9965445,0.00005996332,0.00007920315,0.00008386344,0.000626599,0.0006174527,0.00003722007,0.0001394359,0.001785428,0.000005809557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644327,0.005037349,0.0004827596,0.004298844,0.0001245177,0.00001816305,0.02096476,0.00002353901,0.0046174],"genre_scores_gemma":[0.9908729,0.001440143,0.0002685136,0.0002493725,0.00005512539,0.00001453134,0.006536359,0.000008272606,0.000554843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2631549,"threshold_uncertainty_score":0.5232464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0618360079230775,"score_gpt":0.2815177388178744,"score_spread":0.2196817308947969,"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."}}