{"id":"W2940822050","doi":"10.3390/app9081629","title":"Tribological Capabilities of Graphene and Titanium Dioxide Nano Additives in Solid and Liquid Base Lubricants","year":2019,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Lubricant; Grease; Base oil; Tribology; Titanium dioxide; Nano-; Scanning electron microscope; Graphene; Raman spectroscopy; Composite material; Liquid paraffin; Dry lubricant; Metallurgy; 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":[0.0001030566,0.0003459205,0.0001768158,0.0003624394,0.0001274693,0.0002901805,0.0002905404,0.0002859827,0.0005888422],"category_scores_gemma":[0.0002997343,0.0001299421,0.0001951193,0.0002650837,0.0001567347,0.0002549391,0.0002746505,0.0002065944,0.0001491633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650184,"about_ca_system_score_gemma":0.0001041226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008136526,"about_ca_topic_score_gemma":0.001766524,"domain_scores_codex":[0.9997823,0.00002760701,0.00001511469,0.00002769844,0.0001125043,0.00003475386],"domain_scores_gemma":[0.9998767,0.00002248421,0.00003271967,0.00001005514,0.00004262488,0.0000152451],"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":[0.0000830971,0.00000994298,0.0001773876,0.00005848781,0.000006876433,0.00005053238,0.00001621263,0.0001250965,0.9973434,0.00004046575,0.00001944531,0.002069099],"study_design_scores_gemma":[0.000004351794,0.0002938251,0.001053194,0.000004927633,0.00002090053,0.00009104562,0.00003564956,0.001309115,0.9960575,0.00001689902,0.001106578,0.000005979462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959549,0.001508012,0.001514729,0.00003522855,0.00002220381,0.000007254156,0.00004920023,0.00003503486,0.0008736171],"genre_scores_gemma":[0.9969659,0.0004267167,0.001760387,0.0000165427,0.000004546666,0.000005712731,0.00006250662,0.000007163976,0.0007505384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008136526,"threshold_uncertainty_score":0.001969874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009354486470994816,"score_gpt":0.2117856072102798,"score_spread":0.202431120739285,"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."}}