{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008705578,0.00108086,0.0002437564,0.0006675925,0.0004458606,0.0009619096,0.000755981,0.000510096,0.01208515],"category_scores_gemma":[0.001842961,0.0001538099,0.0004710181,0.0002779512,0.00030202,0.0007242195,0.001430806,0.001018557,0.001719204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019304,"about_ca_system_score_gemma":0.0008476527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220885,"about_ca_topic_score_gemma":0.004971891,"domain_scores_codex":[0.9996709,0.0001119245,0.00001591879,0.00004095662,0.00008287917,0.00007741553],"domain_scores_gemma":[0.9991756,0.0003364748,0.0000343202,0.00003661109,0.000079464,0.0003374782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008440226,0.007890603,0.005023609,0.000971264,0.0001044199,0.0002452809,0.001519762,0.002775984,0.01706057,0.009052913,0.0232662,0.9312454],"study_design_scores_gemma":[0.0018996,0.03000754,0.1839383,0.00599264,0.001167265,0.00562731,0.00942522,0.09307705,0.05334278,0.1821794,0.4327033,0.0006396638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6485153,0.007646475,0.1744464,0.004218721,0.00149897,0.002563728,0.0006339613,0.003378001,0.1570985],"genre_scores_gemma":[0.7671418,0.005922369,0.1682789,0.001842475,0.0001878942,0.001512187,0.0006007658,0.0002076906,0.05430593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01208515,"threshold_uncertainty_score":0.04042882,"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."}}