{"id":"W2229523957","doi":"10.1149/2.0701512jes","title":"Corrosion Product Formation Monitored Using the Feedback Mode of Scanning Electrochemical Microscopy with Carbon Microelectrodes","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Brockhouse Institute for Materials Research; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Scanning electrochemical microscopy; Microelectrode; Corrosion; Materials science; Electrochemistry; Scanning electron microscope; Diffusion; Analytical Chemistry (journal); Chemical engineering; Microscopy; Porosity; Electrode; Metallurgy; Chemistry; Composite material; Optics; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003338165,0.0003079577,0.0005030464,0.00002695562,0.00021158,0.00005491443,0.0008807039,0.0001799072,0.000004260634],"category_scores_gemma":[0.000125702,0.0001682783,0.0005568807,0.0007351576,0.0002812565,0.000163327,0.0001081804,0.001134457,3.87845e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317497,"about_ca_system_score_gemma":0.0003899955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000249232,"about_ca_topic_score_gemma":0.000002274443,"domain_scores_codex":[0.9975426,0.00004804973,0.0007892377,0.0002756651,0.0007812547,0.000563217],"domain_scores_gemma":[0.9977279,0.0001037944,0.0008744201,0.0004701975,0.000655825,0.0001678928],"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":[0.0002615704,0.0001491421,0.0007382982,0.00005035228,0.0001367198,2.083032e-7,0.0004134904,0.00004952759,0.9975678,0.00001255489,0.0005757516,0.00004456985],"study_design_scores_gemma":[0.0006777925,0.00008404694,0.000007266366,0.0001403584,0.000370359,0.0002208534,0.0002760236,0.007462951,0.9897946,0.0005427141,0.0002206797,0.0002023767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877273,0.001290376,0.009646304,0.001048267,0.00002511266,0.0001253573,0.000002317784,0.00002052936,0.0001144298],"genre_scores_gemma":[0.9913417,0.00009180146,0.007861808,0.0001090429,0.0004748154,0.000009759764,0.00001060729,0.00003749235,0.00006299491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007773236,"threshold_uncertainty_score":0.6862191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184071366494941,"score_gpt":0.2600207570006401,"score_spread":0.2481800433356907,"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."}}