{"id":"W4388019945","doi":"10.5006/4439","title":"New Insights into Internal Oxidation of Alloy 690 and Model Alloys in Hydrogenated Steam","year":2023,"lang":"en","type":"article","venue":"CORROSION","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Toronto","funders":"","keywords":"Internal oxidation; Grain boundary; Alloy; Materials science; Intergranular corrosion; Oxide; Metallurgy; Scanning electron microscope; Transmission electron microscopy; Metal; Chemical engineering; Composite material; Microstructure; Nanotechnology","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":[0.00008329484,0.0002490123,0.0001991917,0.0002929137,0.0001701657,0.0002488173,0.000186968,0.0002638814,0.0008725945],"category_scores_gemma":[0.00009244273,0.0001513529,0.0002392978,0.0001371897,0.0003739675,0.0002212267,0.0001838987,0.0002463991,0.0001607676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002845497,"about_ca_system_score_gemma":0.00008497432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002154185,"about_ca_topic_score_gemma":0.003772038,"domain_scores_codex":[0.9999373,0.000004123547,0.000002045415,0.00001038838,0.00003021442,0.00001605259],"domain_scores_gemma":[0.9999589,0.000006329192,0.000009933353,0.000004786677,0.00001491477,0.000005206311],"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":[0.00004579869,0.000005024775,0.000703527,0.00002854762,0.000003265401,0.00006146278,0.00005889683,0.00009253029,0.998005,0.00009292833,0.00001300763,0.0008900907],"study_design_scores_gemma":[0.000004111504,0.0002101744,0.02733135,0.000007314397,0.0000150527,0.0003115885,0.0002351213,0.002226441,0.9680384,0.0001545393,0.001459101,0.000006936051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947017,0.0006000852,0.002470847,0.00002800512,0.000006706495,0.000006792807,0.00008149265,0.00004398338,0.002060343],"genre_scores_gemma":[0.9976627,0.0002139191,0.0008605897,0.00001237052,0.000002462975,0.000002627445,0.0001233918,0.00001233516,0.001109528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002154185,"threshold_uncertainty_score":0.004283249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106466992690697,"score_gpt":0.2324206363852247,"score_spread":0.221773937116155,"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."}}