{"id":"W2793537240","doi":"10.1089/ham.2017.0143","title":"Management of Multi-Casualty Incidents in Mountain Rescue: Evidence-Based Guidelines of the International Commission for Mountain Emergency Medicine (ICAR MEDCOM)","year":2018,"lang":"en","type":"article","venue":"High Altitude Medicine & Biology","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"U.S. Army Medical Command; Indian Council of Agricultural Research","keywords":"Mountaineering; Disaster medicine; Medical emergency; Commission; Medicine; Mass-casualty incident; Poison control; Suicide prevention; Geography; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001355144,0.0002441645,0.0004563057,0.0001704801,0.00007882089,0.000001505827,0.0009274284,0.0002039711,0.0002766126],"category_scores_gemma":[0.0009608644,0.0001541911,0.00009914987,0.0002507442,0.0006770692,0.000008022147,0.0003215194,0.000111176,0.000002717399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005119288,"about_ca_system_score_gemma":0.00008828141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543571,"about_ca_topic_score_gemma":0.001478513,"domain_scores_codex":[0.9975914,0.0001774362,0.001137812,0.0004710312,0.0003237129,0.0002986527],"domain_scores_gemma":[0.9981036,0.00006350933,0.000402848,0.0006299187,0.0007171496,0.00008303378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001044428,0.0003145833,0.1387089,0.0002907221,0.0002837521,0.000004110744,0.0002789404,0.0001108641,0.8294762,0.003148209,0.0246832,0.001656157],"study_design_scores_gemma":[0.0232127,0.008979815,0.430965,0.005219429,0.0005741896,0.00001739465,0.001398624,0.004334876,0.236697,0.002079094,0.2854801,0.001041676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753754,0.003714541,0.008472973,0.008864988,0.002161109,0.001010808,0.00005269982,0.00001351475,0.0003340034],"genre_scores_gemma":[0.9936616,0.001501023,0.002601805,0.000502481,0.0007769081,0.00007909044,0.0001723719,0.00002131464,0.0006833955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5927792,"threshold_uncertainty_score":0.628773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09113571193604521,"score_gpt":0.3961752916833835,"score_spread":0.3050395797473383,"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."}}