{"id":"W4385379910","doi":"10.1007/s11249-023-01769-6","title":"Enhanced Wear Resistance of Cobalt Oxide Over Nickel Oxide","year":2023,"lang":"en","type":"article","venue":"Tribology Letters","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Institut National de la Recherche Scientifique; Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Tribometer; Nanocrystalline material; Tribology; Non-blocking I/O; Oxide; Metallurgy; Lubrication; Amorphous solid; Brittleness; X-ray photoelectron spectroscopy; Composite material; Chemical engineering; Nanotechnology","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":[0.00009701007,0.0001609419,0.0002149884,0.0002192014,0.0002126577,0.0004175722,0.0002834242,0.000176781,0.001742635],"category_scores_gemma":[0.0003399777,0.00009863387,0.00008544911,0.0001492518,0.0001173095,0.0001659119,0.000167836,0.000175289,0.0002969152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998284,"about_ca_system_score_gemma":0.0002079749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002287046,"about_ca_topic_score_gemma":0.003687226,"domain_scores_codex":[0.9998772,0.000006248564,0.000006113586,0.00002133812,0.00004708496,0.00004207149],"domain_scores_gemma":[0.9998521,0.00002535842,0.00002045779,0.00001999757,0.0000547637,0.00002740527],"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":[0.0003532455,0.0000192727,0.0005187655,0.00007884397,0.000005125631,0.0001549569,0.00004747385,0.00009516559,0.9959555,0.0001267947,0.0001572924,0.002487697],"study_design_scores_gemma":[0.0000178374,0.000320652,0.004210988,0.000006644102,0.00001726978,0.0001756194,0.00008355985,0.001457417,0.9910024,0.00002023914,0.002681384,0.000006054972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972758,0.0005062656,0.0002564871,0.00003433904,0.00004787148,0.000005061719,0.00003478337,0.00003789453,0.001801434],"genre_scores_gemma":[0.9972968,0.0001199816,0.0001779475,0.000009722242,0.000006275834,0.000001913339,0.00003634123,0.00001006988,0.002340951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002287046,"threshold_uncertainty_score":0.005829692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118459846888302,"score_gpt":0.217228385478934,"score_spread":0.2060437870100509,"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."}}