{"id":"W2167045969","doi":"10.1503/cmaj.080886","title":"Incidence and predictors of critical events during urgent air-medical transport","year":2009,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Confidence interval; Crew; Odds ratio; Incidence (geometry); Population; Emergency medicine; Retrospective cohort study; Rate ratio; Cohort study; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008719201,0.0001172568,0.0003283764,0.0001531384,0.0001837963,0.00000213187,0.0001016094,0.0003175252,0.002183686],"category_scores_gemma":[0.004608056,0.0001019611,0.0001160338,0.0001649911,0.00008845198,0.00008360198,0.000007261187,0.0007252539,0.000007958932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493142,"about_ca_system_score_gemma":0.002256595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005633204,"about_ca_topic_score_gemma":0.004189449,"domain_scores_codex":[0.9967701,0.00006006095,0.0005593711,0.0001501553,0.002032425,0.000427904],"domain_scores_gemma":[0.9962818,0.00008033323,0.00008867061,0.00007083509,0.0003379428,0.003140406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003144323,0.00009391992,0.9805117,0.00005685321,0.0001267382,0.001125103,0.0007521633,5.558601e-7,0.00003356543,0.0001185437,0.004794433,0.01235499],"study_design_scores_gemma":[0.000835538,0.0001205034,0.992357,0.000263658,0.0000741498,0.0007912901,0.0002556278,0.00001392896,0.00003030941,0.0001087814,0.00506166,0.00008760811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471233,0.0005954576,0.00002366434,0.04971045,0.0007293353,0.00007227068,0.00001300724,0.00001477749,0.001717701],"genre_scores_gemma":[0.9949954,0.0005446148,0.0000388983,0.003331437,0.0009595805,0.000001761527,0.000003667458,0.000007545839,0.0001171308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04787202,"threshold_uncertainty_score":0.9987285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006914516200443925,"score_gpt":0.2602116733267333,"score_spread":0.2532971571262894,"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."}}