{"id":"W2980034577","doi":"10.1002/fam.2761","title":"Quantitative fire risk assessment of cotton storage and a criticality analysis of risk control strategies","year":2019,"lang":"en","type":"article","venue":"Fire and Materials","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Risk assessment; Criticality; Engineering; Fire brigade; Work (physics); Risk analysis (engineering); Poison control; Risk management; Forensic engineering; Safety engineering; Reliability engineering; Computer security; Computer science; Aeronautics; Business; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00327886,0.0001285111,0.001092951,0.0001729813,0.00008671227,0.0001637476,0.0001628419,0.00008017193,0.0007880758],"category_scores_gemma":[0.0009131304,0.00008713804,0.0001528333,0.0005188448,0.0002032059,0.0002954546,0.00006332584,0.00005626409,0.000006193401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007320385,"about_ca_system_score_gemma":0.00004695946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450591,"about_ca_topic_score_gemma":0.0001913915,"domain_scores_codex":[0.9973012,0.0008642758,0.0008186219,0.0003525792,0.0005244674,0.000138858],"domain_scores_gemma":[0.9963199,0.002279944,0.0006304936,0.0003857583,0.0003189062,0.00006492779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001475924,0.0005605845,0.8278288,0.0002903394,0.007230088,0.00001391252,0.009005292,0.004155645,0.06323366,0.06172785,0.0005696811,0.02390822],"study_design_scores_gemma":[0.0006093471,0.0002552841,0.9459702,0.00001971515,0.001951392,3.511459e-7,0.0056583,0.02206638,0.001107521,0.02213292,0.00008810423,0.0001404628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934024,0.0003370859,0.003506785,0.0001103574,0.00008235564,0.0001373462,0.002164199,0.000006630461,0.0002528272],"genre_scores_gemma":[0.9979464,0.001160668,0.0007989462,0.0000154932,0.000009499412,0.000003979434,0.00001664632,0.00000393752,0.00004442323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1181414,"threshold_uncertainty_score":0.8628878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664162781545668,"score_gpt":0.3919140654244091,"score_spread":0.3552724376089524,"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."}}