{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002611032,0.0003450958,0.0009511815,0.001073035,0.000351553,0.0007023516,0.0009312307,0.0001083354,0.0008564538],"category_scores_gemma":[0.0005439546,0.0002264966,0.0003672755,0.004502224,0.00006827099,0.0008954059,0.0003272817,0.0002903604,0.0004159787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004987422,"about_ca_system_score_gemma":0.0001717601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260291,"about_ca_topic_score_gemma":0.03406665,"domain_scores_codex":[0.9947546,0.0005058703,0.0006975748,0.001185536,0.002381449,0.0004750089],"domain_scores_gemma":[0.9958146,0.0007835663,0.0004637922,0.002079485,0.0005902897,0.00026826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009806133,0.0002408554,0.5586267,0.000003877059,0.00148912,0.0006874434,0.0123595,0.424921,0.00003691445,0.00009793948,0.0007449429,0.0006935655],"study_design_scores_gemma":[0.001808014,0.0004797434,0.07840525,0.00003157466,0.005940592,0.0001191656,0.1667037,0.7411187,0.0001288941,0.001187627,0.003061418,0.001015362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901353,0.0006293683,0.007259617,0.0006801297,0.00009073003,0.000496181,0.00001792024,0.00007069155,0.0006200471],"genre_scores_gemma":[0.9787884,0.00007214663,0.0008657707,0.0001042737,0.00003978901,0.00002724334,0.000003504158,0.00002560574,0.0200732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4802215,"threshold_uncertainty_score":0.9835591,"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."}}