{"id":"W3090631464","doi":"10.1016/j.cjca.2020.07.169","title":"IDENTIFYING PUBLIC ACCESS DEFIBRILLATORS IN TORONTO: OPPORTUNITIES AND OBSTACLES","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Automated external defibrillator; Defibrillation; Medical emergency; Public access; Legislation; Emergency medicine; Cardiopulmonary resuscitation; Resuscitation; Internal medicine; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004316083,0.0006519399,0.0005534588,0.001532512,0.007488746,0.005256819,0.002441193,0.002165136,0.008520357],"category_scores_gemma":[0.01474023,0.0005616698,0.0005968123,0.002350889,0.002043537,0.002490545,0.004840838,0.00332357,0.0006082481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06065446,"about_ca_system_score_gemma":0.1888012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9603535,"about_ca_topic_score_gemma":0.9862276,"domain_scores_codex":[0.991116,0.001811345,0.0007440408,0.0006104198,0.001730279,0.003987842],"domain_scores_gemma":[0.9686978,0.005395112,0.003273112,0.0005863148,0.009301422,0.01274634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003143827,0.0005271739,0.6883091,0.00232444,0.0001858377,0.00341025,0.03770389,0.002116658,0.001541083,0.009695647,0.1015847,0.1522868],"study_design_scores_gemma":[0.0000536094,0.00022667,0.7787384,0.003185672,0.0001457662,0.0007981504,0.1614537,0.003010762,0.0004391462,0.002875766,0.04889347,0.0001788554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4969217,0.01980294,0.002353348,0.4175845,0.001386572,0.0007732957,0.005623293,0.0001659548,0.05538839],"genre_scores_gemma":[0.9681884,0.007406117,0.003307729,0.01339784,0.0004590735,0.0002095377,0.001216723,0.00004763783,0.005766793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06065446,"threshold_uncertainty_score":0.440081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041092913514883,"score_gpt":0.3189598635006388,"score_spread":0.2148505721491504,"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."}}