{"id":"W280648785","doi":"10.5006/c2001-01211","title":"Effect of Microstructure and Microchemistry on the SCC Behavior of Archival and Modern Pipeline Steels in a High pH Environment","year":2001,"lang":"en","type":"article","venue":"","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"GRi Simulations (Canada)","funders":"","keywords":"Microchemistry; Microstructure; Pipeline (software); Metallurgy; Cathodic protection; Materials science; Chemistry; Engineering; Electrochemistry; Mechanical engineering; Chromatography; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004342034,0.0001894221,0.0001708122,0.0003429698,0.0002794509,0.000332688,0.0001472587,0.0002134371,0.0006844837],"category_scores_gemma":[0.0007271927,0.0002296216,0.0002078942,0.0002755504,0.000328223,0.0001686536,0.0001888594,0.0002127439,0.0001248423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005429682,"about_ca_system_score_gemma":0.0002449371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01089451,"about_ca_topic_score_gemma":0.02311387,"domain_scores_codex":[0.99966,0.00004415699,0.00002289954,0.00007723196,0.0001455403,0.00005015678],"domain_scores_gemma":[0.9993005,0.00009422637,0.0001346076,0.00005736955,0.0003419865,0.00007134162],"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":[0.0006873168,0.00004999703,0.03047208,0.0000400203,0.00003641228,0.00006885347,0.0002251984,0.000375127,0.96404,0.00003168974,0.00004455318,0.003928698],"study_design_scores_gemma":[0.00001209813,0.001585892,0.3972046,0.000004218942,0.00005634244,0.0001655887,0.0002828149,0.0009759795,0.5989963,0.00002299223,0.0006770619,0.0000161567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993093,0.00006412972,0.0002973288,0.000003567051,0.000001941122,0.000007785667,0.00007796905,0.00000736084,0.0002307119],"genre_scores_gemma":[0.99856,0.00005632117,0.000674478,0.000009375033,0.000002283562,0.00000676794,0.000156445,0.000006021,0.000528395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089451,"threshold_uncertainty_score":0.02166218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006399416306029808,"score_gpt":0.2236314601919477,"score_spread":0.2172320438859179,"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."}}