{"id":"W2904314996","doi":"10.1115/1.4042350","title":"A Framework for Risk-Based Integrity Assessment of Unpiggable Pipelines Subject to Internal Corrosion","year":2018,"lang":"en","type":"article","venue":"Journal of Pressure Vessel Technology","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Pipeline and Hazardous Materials Safety Administration; U.S. Department of Transportation","keywords":"Corrosion; Integrity management; Pipeline transport; Risk analysis (engineering); Risk assessment; Computer science; Structural integrity; Environmental science; Forensic engineering; Engineering; Reliability engineering; Petroleum engineering; Business; Materials science; Environmental engineering; Structural engineering; Computer security; Metallurgy","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":[0.001177195,0.000158578,0.0004532533,0.0005358725,0.0001166785,0.00003796768,0.0005571046,0.0003231127,0.0002916203],"category_scores_gemma":[0.001148256,0.000123188,0.0001424797,0.0003929111,0.0002093678,0.0001649948,0.0001228458,0.0005153844,0.000007717538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004908923,"about_ca_system_score_gemma":0.0001831982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002469257,"about_ca_topic_score_gemma":0.00001625499,"domain_scores_codex":[0.9983457,0.00009768303,0.0007399668,0.0002313719,0.0003317338,0.0002535826],"domain_scores_gemma":[0.997103,0.0002233933,0.000988483,0.0003367056,0.001263008,0.00008539989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004030375,0.0002683709,0.01211349,0.00004935626,0.000003529221,0.000003023351,0.00006232579,0.0001017079,0.9808288,0.001389696,0.003301842,0.001474857],"study_design_scores_gemma":[0.0007056177,0.002623189,0.001535739,0.000526021,0.0001379564,0.00003205114,0.0001340758,0.001139989,0.9804075,0.007699247,0.004923453,0.0001352029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4977607,0.00007367707,0.500315,0.0006249876,0.0009463236,0.000181494,0.00004753595,0.00003468931,0.00001564808],"genre_scores_gemma":[0.8708231,0.00001431396,0.1287924,0.00007469916,0.000229491,0.00001744036,0.000001207077,0.00001537686,0.00003204359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3730624,"threshold_uncertainty_score":0.5023463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02532348877791497,"score_gpt":0.3503661512119535,"score_spread":0.3250426624340386,"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."}}