{"id":"W4402413042","doi":"10.1021/acs.analchem.4c01476","title":"Quantitative Interpretation of Potentiodynamic Polarization Curves Obtained at High Scan Rates in Scanning Electrochemical Cell Microscopy","year":2024,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium","keywords":"Chemistry; Polarization (electrochemistry); Microscopy; Electrochemistry; Interpretation (philosophy); Analytical Chemistry (journal); Optics; Chromatography; Electrode; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001534526,0.001113641,0.0007207621,0.00213886,0.0003909745,0.001190819,0.001337191,0.001132288,0.00353017],"category_scores_gemma":[0.003146336,0.00044533,0.0003735655,0.002705128,0.0005698579,0.001405819,0.0005955047,0.001809269,0.001183809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004108208,"about_ca_system_score_gemma":0.0004354323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006085829,"about_ca_topic_score_gemma":0.0005972935,"domain_scores_codex":[0.998806,0.0002490235,0.00007324974,0.0002225879,0.000527199,0.0001219804],"domain_scores_gemma":[0.9976782,0.0007675854,0.0002200971,0.0002960071,0.0009726472,0.00006541341],"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":[0.00005377121,0.00003630897,0.0003598502,0.0002821675,0.00001065175,0.0001273927,0.000106507,0.0005016768,0.9847775,0.0006547415,0.0003191926,0.01277017],"study_design_scores_gemma":[0.000008566588,0.0001084246,0.003527869,0.00002148913,0.00002196875,0.0003032036,0.0001134826,0.01269869,0.9788098,0.0009511548,0.003406372,0.00002908694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2301973,0.002280559,0.753583,0.0003449474,0.000246698,0.0003542458,0.00253006,0.004908437,0.005554771],"genre_scores_gemma":[0.6793007,0.003549836,0.3095516,0.0002029387,0.00008214193,0.0006696226,0.002013386,0.0007820756,0.003847694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00353017,"threshold_uncertainty_score":0.01180959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00488296302570541,"score_gpt":0.2715942918195601,"score_spread":0.2667113287938547,"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."}}