{"id":"W3047200947","doi":"","title":"Serious gaming for training nontechnical skills in crisis management and emergency response","year":2019,"lang":"en","type":"article","venue":"International Conference on Information Systems for Crisis Response and Management","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; Université Laval","funders":"","keywords":"Crisis management; Training (meteorology); Emergency response; Crisis response; Emergency management; Computer science; Medical education; Business; Medical emergency; Public relations; Political science; Medicine; Management; Economics; Economic growth; Geography","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":[0.001732333,0.0001805346,0.0002081313,0.0007058861,0.00007650669,0.0001498975,0.0002060232,0.0001012037,0.000100163],"category_scores_gemma":[0.00005089613,0.0001811421,0.00006589507,0.0001279454,0.00001719783,0.000475134,0.00005977243,0.00008332187,0.00005967047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211701,"about_ca_system_score_gemma":0.00001915309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003546981,"about_ca_topic_score_gemma":0.000004740172,"domain_scores_codex":[0.9983117,0.0001363718,0.0007138631,0.0003223369,0.0002797754,0.0002359337],"domain_scores_gemma":[0.9989889,0.0002287296,0.000257919,0.000253426,0.0002055229,0.0000655389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01538055,0.0002192601,0.0006535937,0.0005036321,0.0004047324,0.000003691992,0.01769198,0.0001930433,0.00008760535,0.8996348,0.01846417,0.04676293],"study_design_scores_gemma":[0.003915975,0.0005991405,0.09772352,0.0003307389,0.00005376826,0.00001797225,0.1409019,0.004116893,0.0000136884,0.001890842,0.7499757,0.0004598865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8418338,0.0003369129,0.09907584,0.01539235,0.004957289,0.008515662,0.000366261,0.0001459662,0.02937589],"genre_scores_gemma":[0.9893652,0.0004666243,0.0008861467,0.000445867,0.0000395934,0.002139555,0.000097644,0.00001388194,0.006545451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8977439,"threshold_uncertainty_score":0.738676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700312232492595,"score_gpt":0.357269186435192,"score_spread":0.320266064110266,"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."}}