{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00417932,0.0009292083,0.0005322387,0.002514414,0.000291457,0.001417974,0.0006710473,0.0005918155,0.002531162],"category_scores_gemma":[0.009333629,0.0003008105,0.0008597764,0.0007537672,0.0006733628,0.001520924,0.0007262491,0.0006229123,0.00009502638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005104,"about_ca_system_score_gemma":0.001113482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005959775,"about_ca_topic_score_gemma":0.002622871,"domain_scores_codex":[0.9979714,0.0009565596,0.00008288825,0.000210683,0.0006132748,0.0001651949],"domain_scores_gemma":[0.9897729,0.007483394,0.001366953,0.0002661303,0.0009168793,0.0001938291],"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":[0.0002241566,0.0001113213,0.01582127,0.0001376455,0.0001844731,0.00011996,0.0001414134,0.9324015,0.002981614,0.0190779,0.0004329192,0.02836575],"study_design_scores_gemma":[0.000006883244,0.0001195203,0.004544914,0.00002282551,0.00003146446,0.00004334574,0.0001147041,0.9836273,0.00075425,0.01043819,0.0002769553,0.00001966613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6321096,0.0005686685,0.3586285,0.0004181335,0.00002083037,0.0002258246,0.0003806129,0.0001144088,0.007533416],"genre_scores_gemma":[0.9884536,0.0001095784,0.01063147,0.00001082159,0.000008038533,0.00005116505,0.00009055502,0.000005457896,0.0006394237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005959775,"threshold_uncertainty_score":0.02210259,"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."}}