{"id":"W2313731916","doi":"10.1115/ipc2002-27243","title":"Approach to Assessment of Corrosion Growth in Pipelines","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petroleum Technology Alliance Canada","funders":"","keywords":"Corrosion; Pipeline transport; Pipeline (software); Integrity management; Materials science; Environmental science; Metallurgy; Computer science; Forensic engineering; Engineering; Environmental engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125983,0.0001240953,0.0002166382,0.0002053353,0.0000201125,0.00003523077,0.0001552687,0.00006912922,0.0003187617],"category_scores_gemma":[0.00005916159,0.0001005484,0.00004981289,0.0001750672,0.00004630604,0.00009735074,0.00004057898,0.0001568703,0.000006958765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002784457,"about_ca_system_score_gemma":0.000007122953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009875718,"about_ca_topic_score_gemma":0.00005625532,"domain_scores_codex":[0.9991245,0.00001763075,0.0003503951,0.0001816313,0.0002019927,0.0001237996],"domain_scores_gemma":[0.9995819,0.0000390255,0.00003427055,0.00009056742,0.0001891822,0.00006506898],"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":[0.000161202,0.002251656,0.3084514,0.001403256,0.0004123494,0.00003423826,0.007544138,0.2065203,0.03196893,0.2727365,0.06913774,0.09937824],"study_design_scores_gemma":[0.0002897124,0.00002469916,0.01141628,0.00006521615,0.00001381802,0.000005561049,0.0001280719,0.982788,0.0008467743,0.0009245416,0.003345104,0.00015218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7316171,0.000321085,0.09363482,0.002209554,0.001202453,0.000408517,0.00009660867,0.0001360599,0.1703738],"genre_scores_gemma":[0.996609,0.0002647232,0.002146894,0.0000743768,0.00008782223,0.0000139962,0.00002746677,0.000006733704,0.0007690155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7762678,"threshold_uncertainty_score":0.4100246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320737233785355,"score_gpt":0.2648669556131507,"score_spread":0.2327932322346151,"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."}}