{"id":"W2113163458","doi":"10.1136/heart.88.5.460","title":"Utilisation of coronary angiography after acute myocardial infarction in Ontario over time: have referral patterns changed?","year":2002,"lang":"en","type":"article","venue":"Heart","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Heart and Stroke Foundation of Canada","keywords":"Medicine; Myocardial infarction; Referral; Coronary angiography; Specialty; Internal medicine; Hazard ratio; Angiography; Cardiology; Socioeconomic status; Emergency medicine; Retrospective cohort study; Family medicine; Population; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006266515,0.0001654092,0.000284807,0.00103537,0.001037111,0.0009174323,0.0009054323,0.0005578942,0.001233635],"category_scores_gemma":[0.004977667,0.0002971233,0.0003704821,0.003485416,0.0006749781,0.0005013506,0.0005800903,0.0004456759,0.0001682798],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01938087,"about_ca_system_score_gemma":0.0153442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9772887,"about_ca_topic_score_gemma":0.98851,"domain_scores_codex":[0.9987771,0.0001353725,0.0000877268,0.00015576,0.0004601034,0.0003839266],"domain_scores_gemma":[0.9949414,0.0003255809,0.002708282,0.00009736347,0.001300379,0.0006269856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005776714,0.00001219524,0.9954015,0.00003576967,0.00002810334,0.000101211,0.0008739656,0.00006890533,0.0001653352,0.00002889422,0.0006494367,0.002576896],"study_design_scores_gemma":[0.000002730859,0.00000860183,0.9990473,0.00001480003,0.000006589122,0.00003307954,0.0004150723,0.00008274955,0.00001545186,0.000003889477,0.0003663383,0.000003351344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937735,0.001192711,0.00007880986,0.001541193,0.00001337882,0.00001630797,0.002069634,0.000008603357,0.001305859],"genre_scores_gemma":[0.9983682,0.0004842689,0.00007387257,0.0001541488,0.000009154032,0.000007644885,0.0005000585,0.000002663856,0.0003999759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9806191,"threshold_uncertainty_score":0.1406187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02218796189289666,"score_gpt":0.2552255693354597,"score_spread":0.233037607442563,"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."}}