{"id":"W2067833793","doi":"10.1115/ipc2012-90311","title":"Digital Analysis of Rod Coupons for NACE Test Method TM0172: “Determining the Corrosive Properties of Petroleum Cargos”","year":2012,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; Petroleum Technology Alliance Canada","funders":"","keywords":"Corrosion; Pipeline transport; Lacquer; Environmental science; Test method; Underwater; Petroleum; Technician; Computer science; Marine engineering; Petroleum engineering; Forensic engineering; Engineering; Process engineering; Metallurgy; Materials science; Coating; Geology; Environmental engineering; Composite material; Electrical engineering","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":[0.0003132611,0.0001588722,0.0003747049,0.0001715351,0.00004226439,0.0000224693,0.0002294791,0.00005306182,0.00001252974],"category_scores_gemma":[0.0007595964,0.0001078551,0.0001710686,0.0003499656,0.00009194831,0.0002487736,0.00006123898,0.00008618705,6.657193e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004850022,"about_ca_system_score_gemma":0.00001517928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002571025,"about_ca_topic_score_gemma":0.000009749028,"domain_scores_codex":[0.9991627,0.00001996983,0.0003035706,0.0001163588,0.0001465144,0.0002508365],"domain_scores_gemma":[0.9985667,0.0007810699,0.0001108014,0.000314612,0.0001837211,0.00004302306],"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":[0.00003290482,0.0001764419,0.4231562,0.000345097,0.001264238,3.236773e-7,0.00199973,0.002425958,0.563728,0.003290766,0.0003917234,0.003188635],"study_design_scores_gemma":[0.000598497,0.0004354668,0.1143448,0.0001923981,0.00246091,0.00001100471,0.001523139,0.1317068,0.7467638,0.0008811531,0.0003032392,0.0007787812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8177395,0.0001552563,0.1711827,0.0000175336,0.00008525881,0.0003921801,0.0001555961,0.0004383375,0.009833651],"genre_scores_gemma":[0.8293485,0.000001710249,0.1704731,0.000005172957,0.00002289736,0.00005212437,0.000006209832,0.00002878936,0.00006151875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3088114,"threshold_uncertainty_score":0.4398202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02786301373077851,"score_gpt":0.2686379340825752,"score_spread":0.2407749203517967,"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."}}