{"id":"W4283755424","doi":"10.1016/j.firesaf.2022.103629","title":"RGB image-based hybrid model for automatic prediction of flashover in compartment fires","year":2022,"lang":"en","type":"article","venue":"Fire Safety Journal","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"National Research Council","keywords":"RGB color model; Artificial intelligence; Process (computing); Arc flash; Artificial neural network; Computer science; Computer vision; Test data; Simulation; 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":[0.0001540621,0.0005083326,0.0005536972,0.0004649899,0.000177421,0.0005245096,0.0004865405,0.0004910759,0.001260964],"category_scores_gemma":[0.0002567561,0.0002195398,0.0005376334,0.0003286234,0.000134349,0.0003701535,0.0002499495,0.000390551,0.0003295559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433439,"about_ca_system_score_gemma":0.0003409063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503307,"about_ca_topic_score_gemma":0.01165342,"domain_scores_codex":[0.9999323,0.000006340151,0.000003338216,0.00002232853,0.00001605524,0.00001959114],"domain_scores_gemma":[0.9999269,0.00001952203,0.000009509839,0.000007034702,0.00002926132,0.000007786675],"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":[0.0006076684,0.0002942257,0.01184935,0.0001237545,0.0001578322,0.0002279246,0.00006492752,0.7955642,0.0317315,0.0004610958,0.00184952,0.157068],"study_design_scores_gemma":[0.00000246986,0.0000208162,0.002126734,0.00000253597,0.00001095284,0.00001001302,0.0000050652,0.9964836,0.001205443,0.00006374003,0.00006493276,0.00000371729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6597019,0.001127694,0.3315082,0.000162758,0.0002232354,0.00005905289,0.0006939378,0.002219916,0.004303173],"genre_scores_gemma":[0.9911197,0.0001548609,0.007265833,0.00002388807,0.00001472849,0.00001863786,0.0001923387,0.00001517304,0.001194832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503307,"threshold_uncertainty_score":0.02989113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344377607871202,"score_gpt":0.2109344355085827,"score_spread":0.1974906594298707,"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."}}