{"id":"W4408588341","doi":"10.5006/mp2015_54_11-62","title":"Erosion-Corrosion Behavior of Pipeline Steel","year":2015,"lang":"en","type":"article","venue":"Materials performance","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Corrosion; Erosion corrosion; Erosion; Metallurgy; Pipeline (software); Materials science; Pipeline transport; Forensic engineering; Engineering; Environmental science; Geology; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003849659,0.0001102599,0.0001650015,0.00002281952,0.00006410978,0.00001950611,0.0001892429,0.00004667029,0.002871244],"category_scores_gemma":[0.00002616536,0.00008743869,0.00002089013,0.0000958952,0.00009183975,0.0002067185,0.0002262489,0.00004642629,0.0008754361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000403157,"about_ca_system_score_gemma":0.000008089141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009735655,"about_ca_topic_score_gemma":0.000007418937,"domain_scores_codex":[0.999052,0.00003526987,0.0002775934,0.0001716993,0.0002861326,0.00017731],"domain_scores_gemma":[0.9995498,0.000008627528,0.0001211483,0.0002078765,0.00001423418,0.00009829575],"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":[0.00003509746,0.00005252316,0.1066937,0.00000920046,1.982902e-7,9.789509e-7,0.000155305,0.0001037965,0.8895336,0.000007555098,0.001665951,0.001742081],"study_design_scores_gemma":[0.000386614,0.0001128206,0.1487702,0.00003371884,0.000007154326,0.000005795994,0.00004503381,0.0003190348,0.8485279,0.000008404326,0.001662627,0.0001206668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965475,0.000009585424,0.00007573233,0.0000274364,0.0005165958,0.0001345749,0.00001340665,0.0000343407,0.002640779],"genre_scores_gemma":[0.9979981,0.00001602123,0.0006967064,0.0001148251,0.00004558782,0.00001892781,0.00001381546,0.0000127004,0.001083276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04207655,"threshold_uncertainty_score":0.9999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595711783631158,"score_gpt":0.2522119490423007,"score_spread":0.2262548312059891,"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."}}