{"id":"W4388566465","doi":"10.1079/searchrxiv.2023.00349","title":"Preparing Emergency Medical Teams for Conflict Zones (Embase).","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":"Action (physics); Curriculum; Process management; Engineering; Engineering management; Knowledge management; Engineering ethics; Political science; Public relations; Medical education; Computer science; Psychology; Medicine; 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":[0.00306974,0.0006811036,0.0002698525,0.001136204,0.001898097,0.003800849,0.001082024,0.002811398,0.2851539],"category_scores_gemma":[0.01484048,0.0004232942,0.0003565744,0.001004388,0.0004077561,0.003473609,0.003094606,0.002512773,0.1705548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001276869,"about_ca_system_score_gemma":0.00544665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006643347,"about_ca_topic_score_gemma":0.02715143,"domain_scores_codex":[0.9987504,0.0003117532,0.0001255778,0.00005930789,0.0006502712,0.0001025183],"domain_scores_gemma":[0.9915791,0.001614562,0.0006916084,0.0002950061,0.003407641,0.002412149],"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":[0.000008747529,0.00001967353,0.00008652946,0.0001244572,0.000001210405,0.00006470808,0.00009768989,0.00002485123,0.0001787899,0.0004354616,0.955856,0.04310204],"study_design_scores_gemma":[0.000006999221,0.00002644132,0.001012732,0.0001937022,0.00000144575,0.0001132678,0.0003572204,0.00002025966,0.0001457886,0.0003910126,0.9977235,0.000007582533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002507713,0.01012944,0.006780767,0.1695926,0.04157614,0.001438535,0.007306125,0.003299349,0.7573694],"genre_scores_gemma":[0.008450754,0.008100705,0.009777379,0.02391016,0.004735656,0.000502293,0.006030063,0.0009656381,0.9375273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2851539,"threshold_uncertainty_score":0.9539347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009396949760252,"score_gpt":0.4888717014029623,"score_spread":0.3879320064269371,"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."}}