{"id":"W4388566530","doi":"10.1079/searchrxiv.2023.00348","title":"Preparing Emergency Medical Teams for Conflict Zones (CINAHL).","year":2023,"lang":"en","type":"article","venue":"","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"CINAHL; Action (physics); Curriculum; Process management; Knowledge management; Engineering; Computer science; Engineering management; Engineering ethics; Medicine; Psychology; Nursing; Pedagogy","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":[0.002271689,0.001093203,0.001323145,0.007527213,0.001197971,0.006102592,0.001510787,0.002058161,0.236521],"category_scores_gemma":[0.02153248,0.0009908137,0.0007022902,0.009492548,0.0004874,0.003921538,0.002985408,0.00218457,0.06740921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004621556,"about_ca_system_score_gemma":0.01297158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02981824,"about_ca_topic_score_gemma":0.04599566,"domain_scores_codex":[0.9981247,0.0003034862,0.000393396,0.00009601286,0.0008963746,0.0001861789],"domain_scores_gemma":[0.9944372,0.001789079,0.000625923,0.0001510208,0.001895675,0.001101092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006339132,0.00004456387,0.0001552552,0.005287742,0.00001193382,0.00003577264,0.00008120782,0.00009692932,0.00005508463,0.001632036,0.7952481,0.1972879],"study_design_scores_gemma":[0.0001031519,0.00004589151,0.002381038,0.008013385,0.00001636456,0.00009311896,0.0001892784,0.00003728841,0.00006297596,0.001110705,0.9879245,0.00002232363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002074193,0.2005979,0.0008521275,0.03054928,0.01697519,0.001809325,0.07690766,0.001120148,0.6691142],"genre_scores_gemma":[0.01759942,0.3224625,0.01063834,0.01445207,0.002737184,0.003590356,0.08269353,0.001419516,0.544407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.236521,"threshold_uncertainty_score":0.7912416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105324694517264,"score_gpt":0.4909115233299078,"score_spread":0.3855868288126439,"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."}}