{"id":"W4405360279","doi":"10.1115/ipc2024-133924","title":"Mechanistic Insight on Intergranular Near-Neutral pH SCC Using Advanced Microscopy","year":2024,"lang":"en","type":"article","venue":"","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Intergranular corrosion; Microscopy; Materials science; Nanotechnology; Chemistry; Metallurgy; Physics; Optics; Microstructure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002218232,0.0002516082,0.0001807103,0.0003079059,0.0002027803,0.0003713139,0.0003460701,0.0006002368,0.001686873],"category_scores_gemma":[0.000164294,0.0002140618,0.0001947764,0.0001895765,0.0004645521,0.0005950392,0.0003131829,0.0005474044,0.0002586784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003028671,"about_ca_system_score_gemma":0.0001535409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001013913,"about_ca_topic_score_gemma":0.001662586,"domain_scores_codex":[0.999908,0.000006161918,0.000003324981,0.0000218118,0.00003735203,0.00002345476],"domain_scores_gemma":[0.9998976,0.00001748509,0.0000259549,0.00001238482,0.000037121,0.000009489847],"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":[0.00002773215,0.00001702775,0.001150962,0.0001811027,0.000005245524,0.0003425872,0.0001416184,0.001076051,0.9932964,0.0008882998,0.0001802274,0.002692747],"study_design_scores_gemma":[0.00001143874,0.0002097359,0.02006598,0.00005976265,0.00002005074,0.000911497,0.0007386292,0.03060939,0.9349285,0.001394498,0.01101851,0.00003185894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561231,0.002827275,0.03315993,0.0003139614,0.00004959032,0.0001186948,0.0007308978,0.0003302475,0.006346306],"genre_scores_gemma":[0.9870707,0.0008870132,0.01037971,0.00006807724,0.000009245186,0.00003246912,0.0002160256,0.00001536683,0.001321297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001686873,"threshold_uncertainty_score":0.005643129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366404661099215,"score_gpt":0.2722345032888386,"score_spread":0.2585704566778464,"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."}}