{"id":"W1935267637","doi":"","title":"Proximity and emergency department use: Multilevel analysis using administrative data from patients with cardiovascular risk factors.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Bishop's University","funders":"","keywords":"Emergency department; Medicine; Demography; Cohort; Population; Logistic regression; Retrospective cohort study; Pediatrics; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001598197,0.0004187999,0.0006518408,0.001666003,0.0007172815,0.0009606485,0.0009754717,0.0005383005,0.002139158],"category_scores_gemma":[0.007313045,0.0004874139,0.001804368,0.003503518,0.000269473,0.0006515482,0.001767035,0.001197013,0.0002547865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243302,"about_ca_system_score_gemma":0.001285512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1707057,"about_ca_topic_score_gemma":0.1786937,"domain_scores_codex":[0.9983755,0.0005670715,0.000146889,0.0003979979,0.0002426984,0.0002698926],"domain_scores_gemma":[0.9953231,0.001013738,0.002298856,0.0004963452,0.0004120444,0.000455824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006966477,0.00001773705,0.9985427,0.00001380937,0.0003543944,0.00002595337,0.00005823663,0.0001373432,0.00003069259,0.00001712703,0.0002404419,0.0004920588],"study_design_scores_gemma":[0.00002526101,0.00006798685,0.9971793,0.00002077779,0.0001667841,0.00006699886,0.0002129739,0.001867358,0.00003133134,0.00003766971,0.0003133668,0.00001016462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912209,0.0003708877,0.0006845224,0.0002256218,0.00001164518,0.0000433471,0.00708408,0.00001683407,0.0003421246],"genre_scores_gemma":[0.9963691,0.00009299357,0.0005345746,0.00002867802,0.00001262342,0.00005426165,0.002785305,0.000004793027,0.0001175509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1707057,"threshold_uncertainty_score":0.3394242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1722140015267042,"score_gpt":0.3137230963111049,"score_spread":0.1415090947844007,"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."}}