{"id":"W2132648008","doi":"10.3357/asem.3624.2014","title":"Injury Rate in a Helicopter Underwater Escape Trainer (HUET) from 2005–2012","year":2014,"lang":"en","type":"article","venue":"Aviation Space and Environmental Medicine","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Health Research Board","keywords":"Underwater; Trainer; Submarine; Training (meteorology); Aeronautics; Medical emergency; Medicine; Physical therapy; Physical medicine and rehabilitation; Simulation; Emergency medicine; Marine engineering; Computer science; Engineering; History; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003427452,0.0002020181,0.0001961682,0.001070981,0.0003349459,0.0003729318,0.0003943052,0.0003929609,0.001948926],"category_scores_gemma":[0.001417965,0.0001835825,0.0003227195,0.0007596029,0.0001797983,0.0003265086,0.0005341565,0.0003881627,0.0003394974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000573498,"about_ca_system_score_gemma":0.0004465716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940555,"about_ca_topic_score_gemma":0.0218244,"domain_scores_codex":[0.9996587,0.00003840056,0.00005629319,0.00006703713,0.00008274824,0.0000968625],"domain_scores_gemma":[0.9991571,0.00004909865,0.0004464517,0.00003201096,0.0001495246,0.0001659525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003402608,0.00002609545,0.9976619,0.00001230205,0.00001323499,0.00009386601,0.00006828514,0.00003665967,0.00007870177,0.000006422602,0.0002492829,0.001719183],"study_design_scores_gemma":[0.0000019855,0.00008372267,0.9990485,0.00001148598,0.000008430141,0.0003456023,0.0001835569,0.0001073359,0.00004935344,0.000003215376,0.0001548619,0.00000191114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985312,0.0001178246,0.00007105077,0.00004975712,0.000007794175,0.00001324535,0.000763882,0.00001019459,0.0004350512],"genre_scores_gemma":[0.998276,0.0001648733,0.00006676105,0.00004106452,0.000008504211,0.00001054661,0.001027802,0.000002547097,0.0004018941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940555,"threshold_uncertainty_score":0.03858519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007324264855244862,"score_gpt":0.2171496654386001,"score_spread":0.2098254005833552,"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."}}