{"id":"W4401659383","doi":"10.1016/j.jeurceramsoc.2024.116850","title":"Microstructural analysis and tribological characteristics of thermally sprayed Co-Ni-O ternary oxide coatings","year":2024,"lang":"en","type":"article","venue":"Journal of the European Ceramic Society","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institut National de la Recherche Scientifique; Concordia University; McGill University","funders":"PRIMA Québec; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Materials science; Tribology; Ternary operation; Oxide; Metallurgy; Microstructure; Thermal spraying; Composite material; Chemical engineering; Coating","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":[0.00009768616,0.0001463006,0.0001441128,0.0003308648,0.0002404025,0.0002058784,0.0001970478,0.000216682,0.00207131],"category_scores_gemma":[0.0003192964,0.0001453293,0.0001558429,0.0002284237,0.0002213546,0.0001951686,0.0001167842,0.0002686536,0.0001236373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802243,"about_ca_system_score_gemma":0.0002015321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820659,"about_ca_topic_score_gemma":0.008447955,"domain_scores_codex":[0.9998611,0.000003943263,0.000009251184,0.00002991621,0.00006552328,0.00003014458],"domain_scores_gemma":[0.9998426,0.0000279149,0.00003108553,0.00001273698,0.00006725498,0.00001837181],"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":[0.00008185645,0.000009450249,0.0005135714,0.00002081496,0.000003438042,0.00004143811,0.00004188449,0.0001356928,0.9978205,0.00003313747,0.00004292869,0.001255209],"study_design_scores_gemma":[0.000008670799,0.0001619353,0.04402695,0.000006066683,0.00001938301,0.0001319588,0.0001558044,0.003084582,0.9510983,0.0000262846,0.0012692,0.00001095874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980103,0.0001955541,0.0007116778,0.00001517334,0.00001249462,0.000008352802,0.0001420947,0.00001845735,0.0008858283],"genre_scores_gemma":[0.9984743,0.00006356118,0.0005280703,0.000006429009,0.000002672593,0.000006387696,0.00009586677,0.000008134372,0.0008146301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003820659,"threshold_uncertainty_score":0.00759685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008085223317548752,"score_gpt":0.2289007674681858,"score_spread":0.220815544150637,"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."}}