{"id":"W4405894083","doi":"10.1016/j.firesaf.2024.104333","title":"Development of the Conditional Source-term Estimation (CSE) framework including finite-rate kinetics and non-prescribed radiation applied to a methanol pool fire","year":2024,"lang":"en","type":"article","venue":"Fire Safety Journal","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Term (time); Estimation; Kinetics; Methanol; Environmental science; Radiation; Computer science; Mechanics; Chemistry; Engineering; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002603688,0.0001383487,0.0001429195,0.00009200173,0.0001919428,0.00009494285,0.0001200013,0.00009814426,0.00009272611],"category_scores_gemma":[0.00009961762,0.0001179233,0.00005181849,0.0002541574,0.00002165267,0.00008780052,0.000070339,0.0003817456,0.00001290126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691439,"about_ca_system_score_gemma":0.00005881001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.935578e-7,"about_ca_topic_score_gemma":0.000001745034,"domain_scores_codex":[0.9990954,0.00002393735,0.0003988795,0.0001113449,0.0002156297,0.0001547909],"domain_scores_gemma":[0.9995175,0.000184977,0.00006343365,0.0001032128,0.00004244616,0.00008840737],"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":[0.00003175299,0.00001667189,0.00009120109,0.0001539587,0.0001164296,0.000003321436,0.005404692,0.6962847,0.006964095,0.0005271239,0.0004276643,0.2899784],"study_design_scores_gemma":[0.0002277528,0.00001338927,0.02221373,0.0004077226,0.00003602577,0.00002878598,0.00009557752,0.970753,0.001946613,0.001018235,0.003092918,0.000166309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2602719,0.0001487999,0.7383526,0.0003282982,0.0004960905,0.0001754365,0.00002829203,0.00006442403,0.0001341187],"genre_scores_gemma":[0.9790989,0.00006138381,0.02052916,0.00007169585,0.0001282173,0.00001008763,0.00003221133,0.00002607559,0.00004231834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7188269,"threshold_uncertainty_score":0.4808771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076434521710571,"score_gpt":0.2389734747387911,"score_spread":0.2282091295216854,"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."}}