{"id":"W2087872052","doi":"10.1080/10903120701537147","title":"A Descriptive Analysis of Emergency Medical Service Systems Participating in the Resuscitation Outcomes Consortium (ROC) Network","year":2007,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Associated Medical Services","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Emergency medical services; Medical emergency; Descriptive statistics; Resuscitation; Per capita; Emergency medicine; Trauma center; Retrospective cohort study; Population; Environmental health; Surgery; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443102,0.0002049104,0.0005661651,0.0002745688,0.000113034,0.000008027449,0.0001880409,0.0001647176,0.0002301761],"category_scores_gemma":[0.000783533,0.0001455788,0.0004049146,0.002851685,0.00004130038,0.0001155176,0.00005082194,0.000262434,0.000007919974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009389232,"about_ca_system_score_gemma":0.0000959479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163299,"about_ca_topic_score_gemma":0.004249136,"domain_scores_codex":[0.9968026,0.000199608,0.001162406,0.0003246845,0.001066389,0.0004442921],"domain_scores_gemma":[0.9983112,0.0001877002,0.0003173249,0.0003691216,0.0006613681,0.000153331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009981801,0.00009182152,0.9592326,0.0002884746,0.0007172403,0.0000268546,0.03542173,0.002442029,0.00005145033,0.0004675535,0.0006268688,0.0005335048],"study_design_scores_gemma":[0.0004451979,0.00007923143,0.9520305,0.0001146596,0.001301536,6.357568e-7,0.04295052,0.002719801,0.00001550147,0.00005750333,0.0001289069,0.0001559638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886861,0.002874729,0.0007236885,0.0004699549,0.003963051,0.000725913,0.00002265498,0.00003767342,0.002496268],"genre_scores_gemma":[0.998999,0.0001772852,0.00008874344,0.00006170787,0.0003122997,0.0001724942,0.0001468354,0.00001842564,0.00002319756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031294,"threshold_uncertainty_score":0.5936532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279395429845642,"score_gpt":0.334406410029034,"score_spread":0.3064668670444698,"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."}}