{"id":"W3013759481","doi":"10.1161/circ.140.suppl_2.108","title":"Abstract 108: Optimal In-Hospital Defibrillator Placement","year":2019,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; Automated external defibrillator; Defibrillation; Intensive care; Emergency medicine; Emergency department; Medical emergency; Cardiopulmonary resuscitation; Resuscitation; Cardiology; Intensive care 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":[0.0009767895,0.0007862658,0.0005565966,0.0008291664,0.0003252246,0.001053954,0.0007312187,0.0004507253,0.002585991],"category_scores_gemma":[0.004235712,0.000280509,0.0005426642,0.0008234602,0.0004629179,0.0005137278,0.0004924029,0.0003578898,0.0006049324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004580473,"about_ca_system_score_gemma":0.004847031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05326431,"about_ca_topic_score_gemma":0.04677703,"domain_scores_codex":[0.9994828,0.00009599599,0.00005599172,0.0001542326,0.0001335209,0.00007747563],"domain_scores_gemma":[0.9983864,0.0004941411,0.0005950693,0.00008579673,0.0003623062,0.00007626263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003496475,0.0001700663,0.2211886,0.0006851995,0.0001818981,0.0004140733,0.0002395835,0.677988,0.007312032,0.003264808,0.007515199,0.08069089],"study_design_scores_gemma":[0.00006174439,0.0002652697,0.1116784,0.0001312466,0.0000938125,0.0004691788,0.0003661695,0.8727176,0.007378079,0.002668786,0.004123017,0.00004663237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251951,0.0007836851,0.1618324,0.001317218,0.00006113945,0.0002083883,0.004130918,0.0006909536,0.005780072],"genre_scores_gemma":[0.9631947,0.0003178762,0.03265367,0.00007856508,0.00001757133,0.00006951511,0.002238381,0.00005623592,0.001373539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05326431,"threshold_uncertainty_score":0.1059086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007869668484536496,"score_gpt":0.2534166631858257,"score_spread":0.2455469947012892,"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."}}