{"id":"W2900216291","doi":"10.1115/ipc2018-78597","title":"Are Integrity Management Programs Making a Difference?","year":2018,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Energy Regulator","funders":"Infrastructure Canada","keywords":"Integrity management; Risk analysis (engineering); Pipeline (software); Computer science; Data integrity; Pipeline transport; Stress corrosion cracking; Computer security; Business; Engineering; Corrosion","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":[0.04253664,0.0005909878,0.0007625656,0.002946139,0.00310238,0.01601923,0.003538432,0.00543888,0.009834382],"category_scores_gemma":[0.1640089,0.0007471172,0.0006354692,0.005577886,0.007134489,0.0296305,0.005454668,0.006176363,0.002407727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006317369,"about_ca_system_score_gemma":0.01689555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009125663,"about_ca_topic_score_gemma":0.006718339,"domain_scores_codex":[0.9466949,0.02391937,0.002496587,0.00353786,0.01746935,0.005881913],"domain_scores_gemma":[0.8275345,0.06862403,0.03000241,0.01453616,0.04630395,0.01299901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003525322,0.000699928,0.05914636,0.001662311,0.0001860028,0.0003011092,0.005404336,0.002135609,0.0008613978,0.1819409,0.09565594,0.6516535],"study_design_scores_gemma":[0.0001427987,0.001169812,0.105308,0.005436665,0.0002506661,0.0009958546,0.03755699,0.003330786,0.005708997,0.1838512,0.6559273,0.0003209434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1072876,0.02679398,0.035203,0.6786622,0.005769163,0.0003655342,0.001109147,0.0008034413,0.144006],"genre_scores_gemma":[0.8625895,0.02352288,0.02525641,0.07178301,0.003213743,0.0004463728,0.000967172,0.0006493834,0.01157164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04253664,"threshold_uncertainty_score":0.2249579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173118358657771,"score_gpt":0.2631749034320666,"score_spread":0.2314437198454888,"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."}}