{"id":"W2963803043","doi":"10.1016/j.ress.2019.106587","title":"Bayesian Stochastic Petri Nets (BSPN) - A new modelling tool for dynamic safety and reliability analysis","year":2019,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Research and Development; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Suncor Energy Incorporated; Genome Canada","keywords":"Reliability (semiconductor); Bayesian probability; Computer science; Stochastic Petri net; Reliability engineering; Petri net; Dynamic Bayesian network; Engineering; Artificial intelligence; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002942694,0.001454266,0.00152128,0.001989972,0.0005636184,0.002128253,0.001991367,0.001407364,0.003985235],"category_scores_gemma":[0.007407809,0.001063223,0.001750479,0.001741175,0.0009621855,0.002918251,0.001674692,0.002574354,0.001276961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238064,"about_ca_system_score_gemma":0.002775125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009810368,"about_ca_topic_score_gemma":0.01276537,"domain_scores_codex":[0.9977132,0.0007288139,0.000154589,0.0002694814,0.001030172,0.000103659],"domain_scores_gemma":[0.9961166,0.002468753,0.0004202414,0.0003309828,0.000517785,0.0001456299],"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":[0.00009291124,0.00006676616,0.001280705,0.0002701234,0.0001412065,0.0001962408,0.0001456107,0.7253637,0.003112781,0.1970069,0.003757281,0.06856579],"study_design_scores_gemma":[0.00001060801,0.00001809631,0.000136747,0.00003931559,0.0000382344,0.00006402954,0.00001293446,0.9142503,0.0007031964,0.07662974,0.00807662,0.00002016128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009858817,0.0001448309,0.9968393,0.00008237867,0.00003983428,0.0000246504,0.0002144481,0.0004947882,0.00117387],"genre_scores_gemma":[0.1374445,0.001783624,0.8509535,0.0002594347,0.0001956106,0.0003775026,0.001251949,0.0005813858,0.007152419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009810368,"threshold_uncertainty_score":0.01950651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265941820658842,"score_gpt":0.2654075755609238,"score_spread":0.2527481573543354,"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."}}