{"id":"W2001875020","doi":"10.1115/ipc2004-0272","title":"Analysis of Ruptures and Trends on Major Canadian Pipeline Systems","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"","keywords":"Pipeline transport; Forensic engineering; Pipeline (software); Psychological intervention; Corrosion; Engineering; Environmental science; Medicine; Environmental engineering; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001183038,0.0002059241,0.0004056211,0.001077472,0.00006542874,0.0000942853,0.0001839679,0.000154052,0.0003843711],"category_scores_gemma":[0.00005452676,0.0001754523,0.0001371741,0.0005086435,0.0001290441,0.0001067745,0.0000198774,0.0002132784,0.000006677124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059502,"about_ca_system_score_gemma":0.00005076485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05542134,"about_ca_topic_score_gemma":0.09407715,"domain_scores_codex":[0.9988713,0.00001797618,0.0004074324,0.0002604811,0.0002401236,0.0002026805],"domain_scores_gemma":[0.9993058,0.00003736055,0.00006205974,0.0001740351,0.0002363455,0.0001844256],"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":[0.0001585058,0.0002003647,0.03531633,0.0003375574,0.007216459,0.00005812943,0.002031798,0.7734123,0.001209943,0.07160752,0.01025047,0.09820066],"study_design_scores_gemma":[0.0009981943,0.00007161495,0.04486766,0.0001435416,0.001042583,0.00001843203,0.0005391754,0.9363927,0.0003039633,0.001374635,0.01375987,0.0004875931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610152,0.003234235,0.00555182,0.002163422,0.001214066,0.0001596727,0.001050244,0.0001355595,0.02547573],"genre_scores_gemma":[0.9964067,0.0004224504,0.0001134359,0.00008518681,0.0001519805,0.000005869539,0.0002345217,0.00001131253,0.00256856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1629805,"threshold_uncertainty_score":0.9508687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103820343248425,"score_gpt":0.230295988748881,"score_spread":0.2199139544240385,"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."}}