{"id":"W4377227335","doi":"10.1016/j.wear.2023.204974","title":"Lubricity effectiveness of bio-lubricant modified with multi-wall carbon nanotube and organic polymer","year":2023,"lang":"en","type":"article","venue":"Wear","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Universiti Teknikal Malaysia Melaka","keywords":"Materials science; Lubricity; Lubricant; Tribology; Lubrication; Composite material; Carbon nanotube; Base oil; Scanning electron microscope; X-ray photoelectron spectroscopy; Polymer; Context (archaeology); Fourier transform infrared spectroscopy; Surface roughness; Chemical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217035,0.0001428327,0.0002359819,0.00009992487,0.00003049337,0.00001072005,0.00007748069,0.00004822132,0.00001321585],"category_scores_gemma":[0.00001390457,0.0001105179,0.00002545563,0.0004033902,0.00007285044,0.00004425729,0.00003925329,0.00008277882,0.000008776386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002500156,"about_ca_system_score_gemma":0.00001487055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002741079,"about_ca_topic_score_gemma":0.00002019395,"domain_scores_codex":[0.999333,0.00004530134,0.0001089254,0.0001730614,0.0001154603,0.0002242798],"domain_scores_gemma":[0.9996103,0.0001201102,0.00002332597,0.0001589771,0.0000219589,0.00006533232],"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":[0.00008164826,0.00006208342,0.0106011,0.000394982,0.0002635005,0.00003864992,0.0009227282,0.0008815726,0.9854906,0.0002962834,0.00002973432,0.0009371409],"study_design_scores_gemma":[0.001330825,0.0001495538,0.20501,0.000188612,0.00004804877,0.00001220147,0.0001809223,0.03693898,0.7556563,0.00004444533,0.00008835914,0.0003517552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983995,0.0002192727,0.0003521292,0.00001160688,0.00007320353,0.0001555902,0.00002753225,0.0002414375,0.0005197551],"genre_scores_gemma":[0.999688,0.00008389142,0.00003494981,0.000005550732,0.00001963134,0.00001314749,0.000006478146,0.00004175389,0.000106627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2298343,"threshold_uncertainty_score":0.4506787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009038775351265979,"score_gpt":0.1967416707875246,"score_spread":0.1877028954362586,"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."}}