{"id":"W2738459192","doi":"10.1149/ma2017-02/11/755","title":"(Invited) Characterizing Crevice Corrosion Processes Electrochemically, Microscopically, and Spectroscopically","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; National Research Council Canada","funders":"","keywords":"Materials science; Crevice corrosion; Alloy; Microstructure; Cathodic protection; Corrosion; Metallurgy; Grain boundary; Electrochemistry; Analytical Chemistry (journal); Chemistry; Electrode; Physical chemistry","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":[0.0002119141,0.0003521478,0.0002059646,0.0004664682,0.0002187218,0.0006377842,0.0003736681,0.0007871361,0.00605867],"category_scores_gemma":[0.0003626217,0.000170322,0.0001977913,0.0002864179,0.0002348289,0.0004398588,0.0002800596,0.0004434997,0.003838292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936647,"about_ca_system_score_gemma":0.0001505849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001830063,"about_ca_topic_score_gemma":0.002507358,"domain_scores_codex":[0.9997992,0.00001217084,0.000008494166,0.00004587289,0.0001043402,0.00003008883],"domain_scores_gemma":[0.999788,0.0000215898,0.00002704226,0.00002350846,0.0001203869,0.00001947946],"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":[0.00003651448,0.00001038016,0.0005219938,0.0001039937,0.000005390274,0.00007153233,0.00006917954,0.0001605242,0.9780511,0.0002117445,0.001033383,0.01972432],"study_design_scores_gemma":[0.000006346149,0.00008897579,0.005785676,0.00001553368,0.00001481562,0.0003042672,0.0001357753,0.002234473,0.9669091,0.0002546521,0.02423225,0.00001818422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6895249,0.007889056,0.2346365,0.00144645,0.001114069,0.0003429346,0.002612982,0.004050539,0.05838253],"genre_scores_gemma":[0.8318914,0.004727142,0.08893946,0.0007704147,0.0001357475,0.0002259726,0.001660864,0.0004372171,0.07121174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00605867,"threshold_uncertainty_score":0.02026826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178318312345835,"score_gpt":0.2784326041258851,"score_spread":0.2606007728913016,"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."}}