{"id":"W3208573629","doi":"10.9798/kosham.2021.21.5.165","title":"A Prediction Model of Casualties Based on Machine Learning for Selection of Fire Scenario","year":2021,"lang":"en","type":"article","venue":"Korean Society of Hazard Mitigation","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Cart; Computer science; Selection (genetic algorithm); Decision tree; Model selection; Firefighting; Machine learning; Artificial intelligence; Engineering; Geography; Cartography","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":[0.000923006,0.0007508072,0.0006972442,0.001433152,0.0004050574,0.0006542413,0.0009602577,0.0006905335,0.002069494],"category_scores_gemma":[0.002434795,0.0002920191,0.0007924168,0.0009620338,0.0001986547,0.0007711219,0.0003451214,0.0007745956,0.0005100539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622729,"about_ca_system_score_gemma":0.0009915942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259216,"about_ca_topic_score_gemma":0.01283745,"domain_scores_codex":[0.9996719,0.00008748912,0.00002070413,0.00008349097,0.00007772824,0.00005871809],"domain_scores_gemma":[0.9989412,0.0006206347,0.00009421836,0.00003855509,0.0002629538,0.00004242427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008416751,0.0001260548,0.009806452,0.00004292104,0.00006288963,0.0001323917,0.00003761203,0.9417132,0.000674519,0.001216824,0.001528203,0.04457474],"study_design_scores_gemma":[0.000001968291,0.00001093911,0.0004207008,0.000002078569,0.000005457734,0.00001161271,0.000002534154,0.999124,0.00007423937,0.0002568561,0.00008675688,0.000002812159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2903168,0.0006258093,0.6998527,0.0006243777,0.0001814054,0.0001890757,0.001408188,0.001804456,0.004997149],"genre_scores_gemma":[0.9369436,0.0003820183,0.05787602,0.00009906141,0.00007279185,0.0002242919,0.001337578,0.00004882048,0.003015771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02259216,"threshold_uncertainty_score":0.04492134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565160862158827,"score_gpt":0.2100192944300782,"score_spread":0.19436768580849,"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."}}