{"id":"W2158981107","doi":"10.1016/j.annemergmed.2013.12.009","title":"Critical Events During Land-Based Interfacility Transport","year":2014,"lang":"en","type":"article","venue":"Annals of Emergency Medicine","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Medicine; Medical emergency","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":[0.0006412574,0.000353744,0.0002857295,0.0008375655,0.001441955,0.001497266,0.0003487825,0.0008518712,0.004874893],"category_scores_gemma":[0.007188324,0.0001558444,0.0003041722,0.0006112456,0.0003759525,0.0008429507,0.0009811957,0.001145233,0.0004376322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595885,"about_ca_system_score_gemma":0.001611363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298657,"about_ca_topic_score_gemma":0.01217099,"domain_scores_codex":[0.999368,0.0001946347,0.00007374472,0.00006300896,0.00008349904,0.0002171494],"domain_scores_gemma":[0.9971958,0.0006205766,0.0008084463,0.00007113082,0.0005164793,0.0007874971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00539436,0.000860832,0.9314634,0.0005212073,0.0002253472,0.01086952,0.01455135,0.0006432363,0.001856488,0.00228026,0.004577237,0.02675679],"study_design_scores_gemma":[0.00004163718,0.001257704,0.9590787,0.0003399639,0.00007500519,0.001955231,0.03106045,0.0003446598,0.0004811694,0.000768352,0.004554861,0.0000422122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934916,0.0009198902,0.0001429047,0.0004041818,0.00008153181,0.0001078472,0.0003036916,0.000006799642,0.004541568],"genre_scores_gemma":[0.9989183,0.0004110492,0.00006731055,0.0001031378,0.00006417387,0.00002945832,0.0001495369,0.000002145066,0.0002549618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01298657,"threshold_uncertainty_score":0.02582198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1294142316871813,"score_gpt":0.4128046631015775,"score_spread":0.2833904314143962,"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."}}