{"id":"W2437598776","doi":"10.1111/acem.13032","title":"Automated Data Abstraction of Cardiopulmonary Resuscitation Process Measures for Complete Episodes of Cardiac Arrest Resuscitation","year":2016,"lang":"en","type":"article","venue":"Academic Emergency Medicine","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Cardiopulmonary resuscitation; Medicine; Resuscitation; Medical emergency; Emergency medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0067288,0.0009308406,0.0007184281,0.003077547,0.0003417662,0.0009613371,0.00105148,0.0003994588,0.002453608],"category_scores_gemma":[0.04045499,0.0003470648,0.000470907,0.001421259,0.0004110144,0.0008170697,0.001204283,0.0003963679,0.0008630315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005647151,"about_ca_system_score_gemma":0.001270175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009903428,"about_ca_topic_score_gemma":0.000666588,"domain_scores_codex":[0.9919064,0.00338547,0.00138921,0.001513079,0.001655881,0.0001498661],"domain_scores_gemma":[0.9474908,0.02888777,0.006289945,0.005548586,0.01136867,0.0004141057],"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":[0.002333166,0.000925214,0.1417233,0.001056518,0.0002711709,0.0004414309,0.002628002,0.009822953,0.05193153,0.0006167799,0.01198237,0.7762675],"study_design_scores_gemma":[0.0009990906,0.003313267,0.4700804,0.0007714225,0.0005742175,0.001657441,0.001386984,0.2817531,0.2072432,0.002072463,0.02976423,0.0003841938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6322787,0.0003698372,0.3325256,0.0003072138,0.0001639497,0.002470834,0.003406213,0.02538116,0.00309664],"genre_scores_gemma":[0.7162867,0.000159884,0.2742977,0.0001682533,0.0001150157,0.001984772,0.003979675,0.0009206135,0.002087298],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0067288,"threshold_uncertainty_score":0.0355857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08324669630848193,"score_gpt":0.3808919948739111,"score_spread":0.2976452985654292,"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."}}