{"id":"W2948239354","doi":"10.11159/tann19.140","title":"Comparative study of tribological behaviours of different base greases enhanced by graphene nano platelets","year":2019,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Theoretical and Applied Nanoscience and Nanotechnology","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grease; Graphene; Materials science; Tribology; Tribometer; Composite material; Raman spectroscopy; Nano-; Carbon nanotube; Base oil; Scanning electron microscope; Nanotechnology; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009580847,0.0001237819,0.00038307,0.00009935104,0.00002558886,0.000007945999,0.0004426398,0.00008230835,0.00005107709],"category_scores_gemma":[0.00003723211,0.00007495921,0.00003495077,0.0001565051,0.001480348,0.00005323897,0.0001997362,0.0001048721,1.084839e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005829575,"about_ca_system_score_gemma":0.00000752094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005711691,"about_ca_topic_score_gemma":7.857961e-7,"domain_scores_codex":[0.9991678,0.000004379234,0.000289722,0.0001936444,0.0002234021,0.0001210474],"domain_scores_gemma":[0.9995194,0.00008374736,0.0001680531,0.00006690717,0.0001328565,0.00002904777],"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":[0.0000709862,0.0001742624,0.001374385,0.00001891577,0.00002341494,3.056848e-8,0.0001922251,0.000001656637,0.6855978,0.3119902,0.000005487108,0.0005505323],"study_design_scores_gemma":[0.0005084294,0.0004584857,0.001771096,0.00006174265,0.00001987629,0.000002032138,0.001426822,0.0003437193,0.9635632,0.03176365,0.000001887397,0.00007903072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984462,0.00002770097,0.00004580771,0.00008343265,0.0000555683,0.0002540358,0.00007518327,0.00001477243,0.0009972813],"genre_scores_gemma":[0.9998408,0.0000780351,0.00004787558,0.0000052772,0.000002449268,0.00001213186,0.000001140197,0.000003596638,0.000008724532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802266,"threshold_uncertainty_score":0.5454404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058138339901454,"score_gpt":0.2215082186046236,"score_spread":0.2109268352056091,"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."}}