{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001807254,0.0003412155,0.000275549,0.0003025929,0.0002151428,0.0002816957,0.0002762614,0.0003882613,0.0008116002],"category_scores_gemma":[0.0004588642,0.0001466076,0.0002238987,0.0002901188,0.000173311,0.0003836734,0.000183489,0.0002332699,0.0001262335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609821,"about_ca_system_score_gemma":0.0001630823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008990194,"about_ca_topic_score_gemma":0.001207164,"domain_scores_codex":[0.9997244,0.0000300381,0.00002982066,0.00004827647,0.0001079861,0.00005946829],"domain_scores_gemma":[0.9997426,0.00005209597,0.00006963537,0.00001270177,0.00009410691,0.00002891354],"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":[0.000529519,0.00002981393,0.0004255409,0.0001514605,0.00001344578,0.0001103046,0.0000748146,0.0001663142,0.995159,0.00007346677,0.00003688034,0.003229397],"study_design_scores_gemma":[0.000004849435,0.0003929575,0.001228413,0.000005084501,0.00001867235,0.00005334722,0.00004620257,0.0006624006,0.9970158,0.000008640221,0.0005572751,0.000006330986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981025,0.001276653,0.0002266688,0.00001281551,0.00002498441,0.000003581305,0.00003148829,0.00001138514,0.0003098942],"genre_scores_gemma":[0.998215,0.0005544008,0.0003687169,0.000009945739,0.00000483477,0.000003137033,0.00005059198,0.000004564034,0.0007888073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008990194,"threshold_uncertainty_score":0.002715111,"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."}}