{"id":"W3014323651","doi":"10.1016/j.resuscitation.2020.03.018","title":"Optimal in-hospital defibrillator placement","year":2020,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; Automated external defibrillator; Intensive care; Emergency department; Emergency medicine; Medical emergency; Cardiopulmonary resuscitation; Resuscitation; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005627405,0.0005886374,0.001144181,0.0009303018,0.0009345827,0.002294051,0.0003888149,0.0008528844,0.0138272],"category_scores_gemma":[0.006359014,0.0003815856,0.0006257286,0.0004355533,0.0002590046,0.001343924,0.0008134511,0.00155234,0.003316494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009264572,"about_ca_system_score_gemma":0.001998181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650389,"about_ca_topic_score_gemma":0.004550071,"domain_scores_codex":[0.9992374,0.0002086255,0.0001257359,0.0001034989,0.0001053344,0.0002194406],"domain_scores_gemma":[0.998615,0.0005447101,0.0002155453,0.00006231592,0.0002608357,0.0003015334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005037844,0.002256624,0.1659697,0.001005893,0.0003375792,0.004738388,0.0005397624,0.05262973,0.01892534,0.007682861,0.06505416,0.6758221],"study_design_scores_gemma":[0.001279154,0.00887277,0.7058756,0.004234403,0.001166106,0.02617794,0.007326873,0.07321919,0.02972847,0.07401335,0.06759784,0.0005082308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6081734,0.02275373,0.1846788,0.03533122,0.004735185,0.0008829362,0.00325825,0.002087585,0.1380989],"genre_scores_gemma":[0.9527597,0.005012509,0.03409584,0.001786863,0.001471602,0.0001362931,0.001062047,0.000210132,0.003464998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0138272,"threshold_uncertainty_score":0.0462566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321676340873514,"score_gpt":0.2685687487438433,"score_spread":0.2553519853351082,"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."}}