{"id":"W6997472952","doi":"","title":"Volume versus outcome: More emergency medical services personnel on-scene and increased survival after out-of-hospital cardiac arrest","year":2015,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency medical services; Logistic regression; Cardiopulmonary resuscitation; Odds; Population; Receipt; Odds ratio; Service personnel; Retrospective cohort study","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":[0.002570361,0.0003213716,0.0002825573,0.001042175,0.0001660184,0.0008544457,0.0005825073,0.0007798497,0.002562738],"category_scores_gemma":[0.0109344,0.0001636484,0.001144418,0.0010059,0.000473939,0.0006795579,0.000540926,0.0007191875,0.0001720025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003837314,"about_ca_system_score_gemma":0.0005590239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739215,"about_ca_topic_score_gemma":0.00328014,"domain_scores_codex":[0.9986343,0.0006309148,0.0001552688,0.0002373402,0.0002084846,0.0001337785],"domain_scores_gemma":[0.9918525,0.002491296,0.004507598,0.0001725694,0.0003044698,0.0006716205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003114933,0.00002102366,0.9960913,0.0001028565,0.0003631679,0.00006404617,0.00006000095,0.0001472167,0.0000832501,0.000053304,0.0002112356,0.002491049],"study_design_scores_gemma":[0.00001640323,0.0001738197,0.9982104,0.00008307344,0.0002507986,0.0002293681,0.0001601362,0.0005159377,0.0000472075,0.00009977362,0.0002074899,0.00000555739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942685,0.00364062,0.0003345692,0.0005881294,0.00004369354,0.00001017957,0.000378479,0.00001220412,0.000723438],"genre_scores_gemma":[0.9990137,0.0003855592,0.0001222452,0.00007522899,0.00007415575,0.00000478599,0.0002079162,0.000003705217,0.0001128116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002739215,"threshold_uncertainty_score":0.01359355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786159540948022,"score_gpt":0.259341370941774,"score_spread":0.2414797755322937,"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."}}