{"id":"W2904968568","doi":"10.3390/e20120989","title":"Complex Behavior of Nano-Scale Tribo-Ceramic Films in Adaptive PVD Coatings under Extreme Tribological Conditions","year":2018,"lang":"en","type":"article","venue":"Entropy","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; McMaster University","funders":"Russian Science Foundation; Natural Sciences and Engineering Research Council of Canada; Ministry of Education and Science of the Russian Federation; Russian Foundation for Basic Research","keywords":"Tribology; Materials science; X-ray photoelectron spectroscopy; Ceramic; Auger electron spectroscopy; Scanning electron microscope; Physical vapor deposition; Nanoscopic scale; Coating; Composite material; Transmission electron microscopy; Nano-; Energy-dispersive X-ray spectroscopy; Nanotechnology; Chemical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005952276,0.0001361031,0.0002482416,0.00008344645,0.00005024142,0.00001131263,0.0001206174,0.00007168013,0.002692492],"category_scores_gemma":[0.00001668227,0.0001191664,0.00006529727,0.000178933,0.0002383116,0.00007810813,0.00002947761,0.0001219562,0.00006111534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005524335,"about_ca_system_score_gemma":0.00001372291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004757546,"about_ca_topic_score_gemma":0.00004651232,"domain_scores_codex":[0.9991671,0.00004033208,0.0002549987,0.0001580906,0.0001210743,0.0002583586],"domain_scores_gemma":[0.9996175,0.00009237668,0.00004824173,0.0001360436,0.00004625117,0.00005960855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009380092,0.0005598571,0.007891863,0.00001965529,0.00007464292,0.00002579038,0.001391269,0.0006992904,0.9534405,0.02478532,0.01004568,0.0009723512],"study_design_scores_gemma":[0.007095311,0.001422835,0.640487,0.0002037755,0.0001509363,0.00004859599,0.004050537,0.03920679,0.2950543,0.006207303,0.004862211,0.001210411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924847,0.00004395009,0.003275627,0.00003396097,0.0001593504,0.0002311841,0.0003956446,0.0001059832,0.0032696],"genre_scores_gemma":[0.9986099,0.00001209094,0.001000392,0.00004310277,0.00007613557,0.0000393419,0.00007186833,0.0000192977,0.0001278761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6583862,"threshold_uncertainty_score":0.9982192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852822462077996,"score_gpt":0.2588473452888557,"score_spread":0.2203191206680757,"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."}}