{"id":"W3106026508","doi":"10.1161/circ.142.suppl_4.220","title":"Abstract 220: Public Defibrillator Accessibility and Mobility Trends During the Covid-19 Pandemic in Canada","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Recreation; Government (linguistics); Automated external defibrillator; Medical emergency; Demography; Emergency medicine; Cardiopulmonary resuscitation; Internal medicine","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":[0.00065474,0.00036315,0.0004140017,0.002610582,0.002840702,0.002014993,0.001344066,0.0004629711,0.005842594],"category_scores_gemma":[0.003337719,0.0002894221,0.0007405843,0.006397602,0.000707161,0.0006486693,0.001408214,0.0008575872,0.0007256721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04166288,"about_ca_system_score_gemma":0.06804483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980325,"about_ca_topic_score_gemma":0.9985601,"domain_scores_codex":[0.9989238,0.00004618657,0.0000842424,0.0001763011,0.0003832985,0.0003861596],"domain_scores_gemma":[0.9952903,0.0001244871,0.0006347029,0.0001133022,0.002901829,0.0009354804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008456376,0.00002470177,0.9583995,0.0001941394,0.0000831671,0.000121923,0.0007660971,0.0003699396,0.000184597,0.0004352473,0.02649565,0.01284054],"study_design_scores_gemma":[0.00001173848,0.00001764836,0.987678,0.0002396577,0.00004444109,0.0001126369,0.001813561,0.0005720912,0.0001101601,0.00008228615,0.009291674,0.00002601816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7689424,0.004804242,0.0009923469,0.007043149,0.0002139843,0.0002807637,0.1909947,0.0001535344,0.02657497],"genre_scores_gemma":[0.9536249,0.002827835,0.00108531,0.001404668,0.000057218,0.0001006042,0.03420519,0.00005421617,0.006640114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04166288,"threshold_uncertainty_score":0.3022867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614385667074564,"score_gpt":0.3114467807259423,"score_spread":0.2653029240551966,"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."}}