{"id":"W2918278511","doi":"","title":"Accident causes involving pressure vessels: A case study analysis with STAMP model","year":2019,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Piping; Forensic engineering; Population; Work (physics); Risk analysis (engineering); Operations management; Business; Environmental health; Medicine; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001889505,0.000688999,0.0005083944,0.003102127,0.0007815734,0.001332553,0.001287114,0.001294946,0.007260794],"category_scores_gemma":[0.003623751,0.0003559805,0.002054276,0.002223046,0.0005286779,0.0009094996,0.0009740698,0.0008871497,0.0008958986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106359,"about_ca_system_score_gemma":0.00191617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06143485,"about_ca_topic_score_gemma":0.04365271,"domain_scores_codex":[0.9991315,0.0003040179,0.00008321236,0.0001361287,0.0001898575,0.0001552336],"domain_scores_gemma":[0.996407,0.002328492,0.0003721236,0.0001767945,0.0005787854,0.0001367416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001202495,0.002745237,0.4191581,0.001154387,0.0006687267,0.01429939,0.002432995,0.4841438,0.002501488,0.01517234,0.009602936,0.04691819],"study_design_scores_gemma":[0.0001151417,0.0009271337,0.06920257,0.0001747844,0.0004749263,0.00175504,0.007505599,0.90871,0.001523074,0.003273178,0.006235059,0.0001035245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721149,0.000312886,0.01760849,0.000322932,0.00003964802,0.0004633367,0.003616934,0.000148686,0.005372156],"genre_scores_gemma":[0.9845043,0.0003946539,0.009812778,0.00002590128,0.00001535139,0.0002938262,0.002116257,0.00002058613,0.002816281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06143485,"threshold_uncertainty_score":0.1221545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05352005187340267,"score_gpt":0.3490067930714602,"score_spread":0.2954867411980575,"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."}}