{"id":"W2021717473","doi":"10.1116/1.4750474","title":"Friction and counterface wear influenced by surface profiles of plasma electrolytic oxidation coatings on an aluminum A356 alloy","year":2012,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ford Motor Company (Canada); University of Windsor","funders":"","keywords":"Tribometer; Materials science; Tribology; Plasma electrolytic oxidation; Coating; Metallurgy; Piston ring; Alloy; Polishing; Reciprocating motion; Oxide; Porosity; Lubricity; Abrasive; Composite material; Electrolyte; Mechanical engineering","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":[0.001727938,0.000232602,0.0003921474,0.0003116626,0.0004621688,0.0001251432,0.0005648064,0.0001978989,0.00006424333],"category_scores_gemma":[0.0001009843,0.0001764386,0.00003607376,0.0007933184,0.001008723,0.001434267,0.000138748,0.000301104,0.000008286751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005127253,"about_ca_system_score_gemma":0.0001281609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000494446,"about_ca_topic_score_gemma":0.000003913434,"domain_scores_codex":[0.9978734,0.00005864542,0.0006344635,0.0003657425,0.0005294794,0.0005382694],"domain_scores_gemma":[0.9983031,0.00007631275,0.0007925374,0.0002949496,0.0003366987,0.000196458],"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":[0.00009198209,0.0001562028,0.007496563,0.00002611408,0.000005732466,5.054698e-7,0.0004978031,0.0001053515,0.9902015,0.001073235,0.0001326734,0.0002123387],"study_design_scores_gemma":[0.0004592986,0.001606261,0.003762722,0.00005601059,0.00004065716,0.0001134863,0.001938391,0.002395618,0.9886392,0.0001978858,0.0005722907,0.0002181303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997345,0.0007930906,0.0001493044,0.001154708,0.0001694758,0.0002637569,0.00001817592,0.00005434219,0.00005210377],"genre_scores_gemma":[0.9950662,0.0003274619,0.004417276,0.00005674651,0.00002284628,0.000008831076,0.000001404129,0.00001470352,0.0000845618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004267971,"threshold_uncertainty_score":0.7194957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008482094841068821,"score_gpt":0.2418655974562764,"score_spread":0.2333835026152076,"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."}}