{"id":"W1984927051","doi":"10.1016/j.apsusc.2006.01.062","title":"Corrosion-wear monitoring of TiN coated AISI 316 stainless steel by electrochemical noise measurements","year":2006,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Electrochemical noise; Materials science; Tin; Corrosion; Metallurgy; Substrate (aquarium); Electrochemistry; Corundum; Electrode","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":[0.001083949,0.0002072824,0.0002531058,0.00007281028,0.0003470555,0.000115731,0.0005703837,0.00008407539,0.0001041743],"category_scores_gemma":[0.00003726133,0.0001926492,0.00004315823,0.0008094702,0.0005513781,0.0002953832,0.0001562116,0.000139204,0.00009392216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990782,"about_ca_system_score_gemma":0.00016786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009398123,"about_ca_topic_score_gemma":0.000002089562,"domain_scores_codex":[0.9968759,0.00003325113,0.0004466838,0.0006260173,0.001403228,0.0006149383],"domain_scores_gemma":[0.9989743,0.00004899865,0.000211544,0.0003342616,0.0002885682,0.0001422863],"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":[0.00004455735,0.0001461971,0.005053223,0.000009973783,1.364497e-7,5.089341e-7,0.00007036587,0.0001525766,0.9940519,0.00009958245,0.0003210229,0.00005000259],"study_design_scores_gemma":[0.0003969276,0.00004003861,0.001667578,0.00003449828,0.000009586923,0.000002001472,0.0001719476,0.00007661844,0.9972722,0.0000696705,0.00003986212,0.0002190748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959674,0.00005145355,0.002251652,0.00002137203,0.0002492628,0.0003132369,0.00002291806,0.0001056124,0.001017104],"genre_scores_gemma":[0.998208,0.000004548633,0.001542207,0.00001675734,0.00002992943,0.00001383592,0.00001012974,0.00001702564,0.0001575427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003385644,"threshold_uncertainty_score":0.7856005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871611648027336,"score_gpt":0.255949536627748,"score_spread":0.2372334201474746,"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."}}