{"id":"W2534967580","doi":"10.1115/ipc2000-201","title":"Validation of an In-Line Inspection Metal Loss Tool","year":2000,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Pipeline (software); Petroleum; Oil refinery; Refining (metallurgy); Petroleum engineering; Petroleum industry; Oil supply; Crude oil; Line (geometry); Petroleum product; Environmental science; Business; Engineering; Forensic engineering; Waste management; Mechanical engineering; Environmental engineering; Materials science; Geology; Metallurgy","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":[0.00009751305,0.00005772173,0.00007785462,0.0000758388,0.000007871241,0.000005378607,0.00004920773,0.00003434778,0.0002336164],"category_scores_gemma":[0.00001445371,0.00005941851,0.0000137793,0.0001635364,0.0000157693,0.0002232535,0.000004167382,0.00005826324,0.000008921729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004256541,"about_ca_system_score_gemma":0.000003718667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019795,"about_ca_topic_score_gemma":0.00001695224,"domain_scores_codex":[0.9996413,0.00001224707,0.0001431739,0.00007246037,0.00006200897,0.00006879177],"domain_scores_gemma":[0.9998323,0.0000129706,0.00001081899,0.0001141967,0.00001799245,0.00001174464],"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":[0.00004480965,0.0002184573,0.02536649,0.0001164346,0.00004165695,0.00001525817,0.0004361094,0.01742953,0.8742958,0.02616728,0.0001064739,0.05576174],"study_design_scores_gemma":[0.000211995,0.00010259,0.02473366,0.00001988581,0.000007158454,0.00001768338,0.00001028491,0.01063372,0.9107513,0.05333623,0.00002169763,0.0001537597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731026,0.000005042818,0.004833895,0.000003922932,0.0000275583,0.00007585374,0.000001256279,0.0009275631,0.0210223],"genre_scores_gemma":[0.8518943,0.000004717876,0.1480455,0.000002484897,0.000020536,0.000005144694,0.000005555133,0.00001102171,0.00001075671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432116,"threshold_uncertainty_score":0.2557936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414409492312644,"score_gpt":0.2513545173763335,"score_spread":0.237210422453207,"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."}}