{"id":"W2296645750","doi":"10.7759/cureus.524","title":"Helicopter Evacuation Following a Rural Trauma: An Emergency Medicine Simulation Scenario Using Innovative Simulation Technology","year":2016,"lang":"en","type":"article","venue":"Cureus","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Medicine; Rural community; Primary care; Medical emergency; Relevance (law); Simulation training; Rural area; Major trauma; Medical simulation; Medical education; Simulation; Family medicine; Engineering","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":[0.0006926304,0.0008098736,0.0003011071,0.0005679849,0.001746148,0.001000131,0.001023758,0.003978935,0.004277723],"category_scores_gemma":[0.001620511,0.00028873,0.0006671024,0.0003727397,0.001044887,0.0009005715,0.002089679,0.001242691,0.0005914211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009507427,"about_ca_system_score_gemma":0.001022597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231342,"about_ca_topic_score_gemma":0.004294078,"domain_scores_codex":[0.9994343,0.0003363338,0.00002825833,0.00003360441,0.00007361266,0.0000938237],"domain_scores_gemma":[0.9991484,0.0004132832,0.000051369,0.0000499249,0.00004720983,0.0002899608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004362205,0.009543492,0.04594544,0.001788592,0.0003472447,0.3406945,0.02945514,0.3683346,0.0410794,0.03298147,0.04913726,0.07633074],"study_design_scores_gemma":[0.0020632,0.01325155,0.04559207,0.001696448,0.0002791082,0.1627371,0.04462917,0.4796608,0.02658303,0.02977371,0.1928857,0.0008481143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090545,0.0005872708,0.03879054,0.009845066,0.0004871219,0.001418085,0.0010108,0.0004219433,0.03838482],"genre_scores_gemma":[0.9763995,0.0006176934,0.0183132,0.0004377459,0.00009233499,0.000293671,0.0003035108,0.00002776948,0.003514595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004277723,"threshold_uncertainty_score":0.01431048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1166499070087873,"score_gpt":0.4586279829320722,"score_spread":0.3419780759232849,"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."}}