{"id":"W3098289690","doi":"10.1161/circ.142.suppl_3.15568","title":"Abstract 15568: Profound Increases in Out-of-Hospital Cardiopulmonary Arrest Cases Within Most Metropolitan Municipalities During the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Medicine; Metropolitan area; Pandemic; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Quarter (Canadian coin); Population; Cardiopulmonary resuscitation; Emergency medicine; Medical emergency; Pediatrics; Environmental health; Outbreak; Infectious disease (medical specialty); Internal medicine; Disease; Virology; Geography; Resuscitation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004533998,0.0002495985,0.000196796,0.0008161398,0.0005003144,0.0006959384,0.0003271287,0.0003228232,0.003327235],"category_scores_gemma":[0.001945098,0.0001796204,0.0002364596,0.001180009,0.0003120179,0.0005317618,0.001118206,0.0003006794,0.0005660292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005242262,"about_ca_system_score_gemma":0.0007136202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386705,"about_ca_topic_score_gemma":0.04690423,"domain_scores_codex":[0.9995589,0.00008472359,0.00004909873,0.0001123805,0.00009243922,0.0001024238],"domain_scores_gemma":[0.9984341,0.0001135731,0.0008537993,0.00007898142,0.0002827641,0.0002367571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007170341,0.00001503404,0.9939714,0.0000637938,0.00003490159,0.0001980144,0.0006865466,0.00008558187,0.000886544,0.000032437,0.001478208,0.002475791],"study_design_scores_gemma":[9.486621e-7,0.00002580302,0.9979143,0.00001316568,0.000006614464,0.00009445187,0.00116481,0.00004603352,0.0000797641,0.000007539546,0.0006437247,0.000002835452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946267,0.0001312657,0.0001319689,0.000202914,0.00001741484,0.00002123116,0.003333712,0.00002265843,0.001512146],"genre_scores_gemma":[0.9976598,0.00009016242,0.0001403012,0.00005462424,0.0000198162,0.0000234531,0.001681699,0.000006213966,0.00032379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02386705,"threshold_uncertainty_score":0.04745626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05212548569479059,"score_gpt":0.3139294552388352,"score_spread":0.2618039695440446,"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."}}