{"id":"W4402757378","doi":"10.1002/cjce.25443","title":"Complex network analysis for accident causes modelling to enhance process safety in chemical enterprises","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China","keywords":"Process (computing); Accident (philosophy); Process safety; Process management; Accident analysis; Business; Process safety management; Computer science; Risk analysis (engineering); Forensic engineering; Engineering; Work in process; Operations management; Waste management; Hazardous waste","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001782825,0.0001574854,0.0005166865,0.000650052,0.00007311243,0.0003114174,0.0009106144,0.00007242061,0.0000794678],"category_scores_gemma":[0.0009697808,0.0001077668,0.0004237028,0.002759429,0.00003816184,0.000178618,0.00002938162,0.0003365137,0.00000710731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716117,"about_ca_system_score_gemma":0.0003245389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005769676,"about_ca_topic_score_gemma":0.002218166,"domain_scores_codex":[0.9977904,0.00002766187,0.0009364863,0.0002564745,0.0005537432,0.0004352108],"domain_scores_gemma":[0.9978011,0.001105933,0.0001103002,0.00024433,0.0002525686,0.0004858215],"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":[0.00003058082,0.000003297334,0.0006856941,0.000007943017,0.000199605,0.00002542208,0.0006265273,0.9945442,0.001879408,0.0001180161,0.000362286,0.001517019],"study_design_scores_gemma":[0.00008656519,0.0000143148,0.000254294,0.0001515271,0.0002663776,0.00002624674,0.00007612952,0.980238,0.01087716,0.004213671,0.003590356,0.0002054094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5464524,0.00119362,0.4477985,0.004147548,0.0002090348,0.0001263341,0.00001614147,0.00001261563,0.00004386447],"genre_scores_gemma":[0.996471,0.00001438191,0.003018093,0.0001190879,0.000326386,0.000006619822,0.000002825439,0.00001509883,0.00002651264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500186,"threshold_uncertainty_score":0.4394603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04529228464129535,"score_gpt":0.3324140785872466,"score_spread":0.2871217939459512,"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."}}