{"id":"W4392979347","doi":"10.1016/j.healthpol.2024.105033","title":"Variations and inequities in access to cardiac diagnostic services in Ontario Canada","year":2024,"lang":"en","type":"article","venue":"Health Policy","topic":"Acute Myocardial Infarction Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto; Canada Research Chairs; Ottawa Heart Institute; Queen's University; University of Ottawa; Emergent BioSolutions (Canada)","funders":"CorHealth Ontario; Ontario Ministry of Health and Long-Term Care; Ministry of Health, Ontario","keywords":"Medicine; Population; Demography; Redress; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000320669,0.00008579544,0.0002638467,0.0005769108,0.00004765936,0.00006540334,0.00006800605,0.00004106672,0.00005887359],"category_scores_gemma":[0.0002624699,0.00008277549,0.00001653515,0.0007377364,0.0000151262,0.0001115561,0.0001102676,0.0003203535,0.00001248597],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00252151,"about_ca_system_score_gemma":0.01089996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999692,"about_ca_topic_score_gemma":0.9991947,"domain_scores_codex":[0.99884,0.00007836027,0.0002648815,0.0001985342,0.0002298923,0.0003883478],"domain_scores_gemma":[0.9991089,0.000378782,0.00002095518,0.0001474761,0.00003547406,0.0003084041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006411846,0.00005971903,0.8058943,0.002437751,0.0000966743,0.0002414412,0.02057694,0.0002177663,0.00001915393,0.01205372,0.1446927,0.01364577],"study_design_scores_gemma":[0.0001583071,0.0000509408,0.7409814,0.0002578672,0.000003896247,0.000006655824,0.0001896748,0.0001139518,0.000002920966,0.00009922861,0.2580836,0.00005159742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.500131,0.001285081,0.00001116782,0.4916082,0.0004152297,0.001189648,0.0000907462,0.00004321285,0.005225749],"genre_scores_gemma":[0.9409487,0.0004650333,0.00005484165,0.05689136,0.0003197024,0.0001792081,0.00003515515,0.00001728991,0.001088772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4408177,"threshold_uncertainty_score":0.9947073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0456001892322286,"score_gpt":0.4106171079122927,"score_spread":0.3650169186800641,"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."}}