{"id":"W2278274799","doi":"10.1007/s11665-015-1805-6","title":"Inhibitive Performance of Benzotriazole for Steel Corrosion Studied by Electrochemical and AFM Characterization","year":2015,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Benzotriazole; Materials science; Corrosion; Dielectric spectroscopy; Electrochemistry; Polarization (electrochemistry); Anode; Open-circuit voltage; Atomic force microscopy; Surface finish; Corrosion inhibitor; Metallurgy; Chemical engineering; Nanotechnology; Voltage; 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":[0.0002190382,0.0002712733,0.0002459119,0.0001823127,0.0002111643,0.0002526779,0.0006131124,0.000458096,0.001515344],"category_scores_gemma":[0.0004770326,0.0002290769,0.0001923236,0.0002191228,0.0001819291,0.0001474673,0.0001288601,0.0004681165,0.000529843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883534,"about_ca_system_score_gemma":0.0002564919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004728908,"about_ca_topic_score_gemma":0.008383136,"domain_scores_codex":[0.9996551,0.00003542197,0.00002009724,0.00003945833,0.0001787361,0.00007113455],"domain_scores_gemma":[0.99976,0.00004714062,0.00003775355,0.00001993085,0.000117682,0.00001751566],"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":[0.00003173986,0.000008724583,0.00008338709,0.00001777223,0.000002398164,0.00001283752,0.00001371053,0.00001726242,0.9991178,0.00001232011,0.00003375486,0.0006483013],"study_design_scores_gemma":[0.000002441808,0.00009134845,0.001883925,0.000001630549,0.000005609486,0.0000279938,0.00001514095,0.000371203,0.9971486,0.000002854687,0.0004468856,0.000002341747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924634,0.001797299,0.002890378,0.0001267514,0.00003049441,0.00002028795,0.0002609302,0.0001019419,0.002308481],"genre_scores_gemma":[0.9939231,0.0009991942,0.001665987,0.00003543083,0.000009725645,0.00001680122,0.0002590353,0.00001324107,0.003077444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004728908,"threshold_uncertainty_score":0.009402752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279509905639423,"score_gpt":0.2188626013202901,"score_spread":0.2060675022638959,"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."}}