{"id":"W2418454519","doi":"10.1017/s1049023x00043302","title":"Complex Emergencies: Expected and Unexpected Consequences","year":2001,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Engineers Without Borders Canada; Sunnybrook Health Science Centre","funders":"","keywords":"Medical emergency; Computer science; Psychology; Forensic engineering; Medicine; Engineering","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":[0.002223109,0.0004014604,0.0002796825,0.0005317661,0.00138664,0.002001481,0.0006150843,0.001986744,0.00335804],"category_scores_gemma":[0.00975522,0.0002026066,0.0003270392,0.0003731345,0.002590675,0.002390234,0.00205781,0.001592709,0.00030253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124548,"about_ca_system_score_gemma":0.001187144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009396905,"about_ca_topic_score_gemma":0.002861652,"domain_scores_codex":[0.9978453,0.001123231,0.0001489933,0.0001120022,0.000507458,0.000263015],"domain_scores_gemma":[0.9897745,0.006417399,0.001554163,0.0002741845,0.001186427,0.0007933111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001067851,0.0006669777,0.1825893,0.004897376,0.0003028362,0.03643716,0.009591339,0.02293658,0.005956562,0.154215,0.05220876,0.5291303],"study_design_scores_gemma":[0.0001598303,0.002331347,0.2485134,0.004684411,0.0002786427,0.09298881,0.07631722,0.02111451,0.005208178,0.3200224,0.2279136,0.0004675924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.437712,0.1296545,0.05980357,0.2014762,0.004855789,0.000331588,0.0008138172,0.0004562763,0.1648963],"genre_scores_gemma":[0.9571229,0.03155922,0.004487043,0.002914117,0.001598171,0.00005104664,0.00007399648,0.00001853214,0.002174936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00335804,"threshold_uncertainty_score":0.01175702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09464184974013773,"score_gpt":0.3999828246967368,"score_spread":0.3053409749565991,"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."}}