{"id":"W3017677168","doi":"10.1016/j.jobab.2020.04.007","title":"Analysis and comparison of tribological performance of fatty acid-based lubricant additives with phosphorus and sulfur","year":2020,"lang":"en","type":"article","venue":"Journal of Bioresources and Bioproducts","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Lubricant; Ricinoleic acid; Tribology; Sulfur; Materials science; X-ray photoelectron spectroscopy; Scanning electron microscope; Lubrication; Chemical engineering; Phosphorus; Acid value; Castor oil; Nuclear chemistry; Chemistry; Metallurgy; Composite material; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001264852,0.0001336968,0.000558949,0.0001272038,0.0000347958,0.00001799414,0.00007368362,0.00003984014,0.00001484058],"category_scores_gemma":[0.00003741939,0.00007977891,0.00005060791,0.0004148778,0.0003008,0.00007306913,0.00002571562,0.0001239022,6.18661e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004783175,"about_ca_system_score_gemma":0.00001175353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007708115,"about_ca_topic_score_gemma":0.000001746209,"domain_scores_codex":[0.9992076,0.00002110761,0.000341654,0.0001386896,0.000169389,0.0001215778],"domain_scores_gemma":[0.9994002,0.00005085843,0.000261037,0.00006656446,0.00009613968,0.0001252057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009982166,0.0001384776,0.8503432,0.0004447918,0.001155783,0.00001860655,0.002680224,0.001092812,0.1083107,0.00001208102,0.0001116907,0.03469339],"study_design_scores_gemma":[0.0007424155,0.001731039,0.5466815,0.00008832266,0.0003626966,0.00001959311,0.001022852,0.008334076,0.4400668,0.000001879064,0.0007971897,0.0001515799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943104,0.005082861,0.0001731553,0.0002631549,0.00001355436,0.0000544112,0.00006839121,0.000008066926,0.00002601715],"genre_scores_gemma":[0.9980493,0.0009604099,0.0008992215,0.00002030429,0.00005798454,4.581536e-7,0.000002800521,0.00000710823,0.000002480159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3317561,"threshold_uncertainty_score":0.325329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269718417764635,"score_gpt":0.206902853609479,"score_spread":0.1942056694318327,"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."}}