{"id":"W1968820240","doi":"10.1205/psep.05063","title":"A Grid Based Approach for Fire and Explosion Consequence Analysis","year":2006,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Ignition system; Grid; Submarine pipeline; Process safety; Hazard; Engineering; Hazard analysis; Risk analysis (engineering); Environmental science; Computer science; Reliability engineering; Forensic engineering; Work in process; Operations management; Aerospace engineering","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":[0.0009292163,0.0001657474,0.0003089808,0.000200414,0.0006066702,0.0001049636,0.0001269448,0.0001027592,0.00006731279],"category_scores_gemma":[0.00008554355,0.0001296872,0.0001400417,0.0006303925,0.000223236,0.0003723903,0.00003925289,0.0001021527,0.00000417623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000447468,"about_ca_system_score_gemma":0.00001107156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709034,"about_ca_topic_score_gemma":0.00002757752,"domain_scores_codex":[0.9981199,0.00009751623,0.0004470171,0.0006418017,0.0005049222,0.0001888806],"domain_scores_gemma":[0.9993488,0.0001359713,0.000208969,0.0002090406,0.00002199949,0.00007517431],"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":[0.002687456,0.0007578645,0.04114922,0.0002023687,0.0003322905,0.000006866932,0.0005927533,0.6268362,0.006157941,0.0001866415,0.00007070446,0.3210196],"study_design_scores_gemma":[0.0006699747,0.000125916,0.01666827,0.000006758015,0.0003025392,0.00001350382,0.0008804929,0.9694282,0.001395953,0.008990435,0.001266709,0.0002511851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09404773,0.0006988528,0.9037613,0.0005706916,0.00002242543,0.0005485864,0.00008949955,0.00003042669,0.0002305283],"genre_scores_gemma":[0.9972027,0.0003240862,0.00190732,0.00005322075,0.00005219639,0.0001579015,0.000113724,0.000008421955,0.0001804512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.903155,"threshold_uncertainty_score":0.5288491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712565838841544,"score_gpt":0.2769080733622218,"score_spread":0.2397824149738064,"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."}}