{"id":"W2903568795","doi":"10.1161/circ.132.suppl_3.17679","title":"Abstract 17679: Automating Cardiopulmonary Resuscitation Quality Data Abstraction for Entire Episodes of Cardiac Arrest Resuscitation","year":2015,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Cardiopulmonary resuscitation; Resuscitation; Medical emergency; Emergency 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":[0.004566989,0.0008451734,0.0005382664,0.001796925,0.00030797,0.0009142873,0.0009520874,0.0003599047,0.003684685],"category_scores_gemma":[0.02258444,0.0003439496,0.0004243855,0.001002518,0.0003910591,0.0008036118,0.0009598164,0.0003418872,0.001941857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004795479,"about_ca_system_score_gemma":0.001968715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130414,"about_ca_topic_score_gemma":0.001206348,"domain_scores_codex":[0.9963198,0.0009925578,0.0005386038,0.0007256852,0.001308433,0.0001149286],"domain_scores_gemma":[0.9827433,0.008922549,0.002100491,0.001433159,0.004466888,0.000333647],"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":[0.002076243,0.001049612,0.08903677,0.0007884506,0.0002030825,0.0002266798,0.0008083068,0.00572839,0.05547583,0.0004437963,0.01832924,0.8258336],"study_design_scores_gemma":[0.001483955,0.004439458,0.469959,0.0004777184,0.0006238836,0.001968125,0.0006000079,0.2342768,0.2423912,0.001365376,0.04212867,0.0002858335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5025422,0.0005312098,0.4291335,0.0004946209,0.0002012653,0.002789801,0.002896521,0.05551811,0.005892714],"genre_scores_gemma":[0.5429164,0.0002195538,0.4463639,0.0002215017,0.0001184009,0.001661657,0.004459596,0.00130175,0.002737291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004566989,"threshold_uncertainty_score":0.02415282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100883407627107,"score_gpt":0.3690848791818964,"score_spread":0.2682014715547894,"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."}}