{"id":"W4386854380","doi":"10.1149/ma2023-01181478mtgabs","title":"Correlating Corrosion to Surface Grain Orientations by Scanning Electrochemical Cell Microscopy","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Crystallite; Materials science; Intermetallic; Scanning electron microscope; Corrosion; Grain boundary; Microscopy; Metallurgy; Grain size; Electrochemistry; Polarization (electrochemistry); Scanning probe microscopy; Scanning electrochemical microscopy; Optical microscope; Microstructure; Composite material; Nanotechnology; Optics; Chemistry; Electrode; Alloy","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":[],"consensus_categories":[],"category_scores_codex":[0.0002378059,0.0001804413,0.000121409,0.00003920606,0.0003029722,0.00004275398,0.0001908505,0.0001373546,0.00000445296],"category_scores_gemma":[0.0001380972,0.000208189,0.00005450029,0.0003867185,0.00003443516,0.000005744592,0.0000993373,0.0001998261,0.00008088422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000394505,"about_ca_system_score_gemma":0.00005262854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002522485,"about_ca_topic_score_gemma":0.000004277784,"domain_scores_codex":[0.9986024,0.00002208038,0.0002872117,0.0004647886,0.0001239836,0.0004995607],"domain_scores_gemma":[0.9993866,0.00003834186,0.00009860172,0.0002575527,0.00007443888,0.0001444475],"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":[0.00001413215,0.0000290642,0.0004311001,0.000007434543,0.000002310145,6.518393e-7,0.00005562788,0.005690968,0.9499511,0.000002128834,0.0437655,0.00005001223],"study_design_scores_gemma":[0.0001428767,0.0001036994,0.0001190609,0.00003054589,0.000006895126,0.000003776702,0.00009122986,0.0002044067,0.9638394,0.00004077297,0.03519766,0.0002196432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863532,0.0002139956,0.009046049,0.0002291327,0.00008288507,0.00028172,0.00003005312,0.0001825582,0.003580366],"genre_scores_gemma":[0.9675239,0.00007625509,0.02938792,0.0002730384,0.00008838111,0.00004768628,0.0006454535,0.00005356823,0.001903826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034187,"threshold_uncertainty_score":0.8489701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006487836995093105,"score_gpt":0.3037367522589182,"score_spread":0.2972489152638251,"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."}}