{"id":"W4393396258","doi":"10.1016/j.ssci.2024.106496","title":"Empirical evolution of an evacuation reporting template","year":2024,"lang":"en","type":"article","venue":"Safety Science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"National Research Council Canada; Carleton University","keywords":"Poison control; Human factors and ergonomics; Injury prevention; Occupational safety and health; Suicide prevention; Forensic engineering; Engineering; Transport engineering; Computer science; Medical emergency; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01208132,0.0003141578,0.000367554,0.001248445,0.0007337648,0.002562929,0.001835533,0.001219416,0.005727319],"category_scores_gemma":[0.1613966,0.0005655198,0.0004307205,0.001268905,0.0007327764,0.002862584,0.001311357,0.001548516,0.001271835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169117,"about_ca_system_score_gemma":0.003564438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01063957,"about_ca_topic_score_gemma":0.006639776,"domain_scores_codex":[0.9929405,0.003407366,0.0006002311,0.0009526925,0.001778896,0.0003201615],"domain_scores_gemma":[0.8694419,0.08348054,0.006179688,0.02250607,0.01656883,0.00182292],"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":[0.001897361,0.002515312,0.264442,0.0005773682,0.0002584328,0.001032515,0.005950029,0.2032472,0.02792739,0.1101388,0.02478294,0.3572308],"study_design_scores_gemma":[0.00008950318,0.0004156519,0.03107998,0.0001022469,0.00009718276,0.0004591646,0.001297564,0.9116054,0.01798624,0.02007295,0.01670899,0.00008509299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311943,0.0001883705,0.1394741,0.002220421,0.0002399232,0.0005021448,0.003837047,0.002840844,0.01950278],"genre_scores_gemma":[0.9372294,0.0000517481,0.05648709,0.0001280894,0.00002085207,0.0001278864,0.002515411,0.0002992848,0.003140171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01208132,"threshold_uncertainty_score":0.0638929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617715962792161,"score_gpt":0.3315219314053433,"score_spread":0.3053447717774216,"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."}}