{"id":"W1487619170","doi":"10.4271/2007-01-4143","title":"Design Considerations in Formulating Gasoline Engine Lubricants for Improving Engine Fuel Economy and Wear Resistance Part I: Base Oils and Additives","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Petrol engine; Automotive engineering; Base (topology); Wear resistance; Gasoline; Engineering; Computer science; Process engineering; Manufacturing engineering; Waste management; Materials science; Internal combustion engine; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007908466,0.0007086195,0.0005658263,0.0004512616,0.0003565914,0.0009448401,0.0005695156,0.0007212823,0.001156663],"category_scores_gemma":[0.00117378,0.0003691792,0.0002784626,0.0002677295,0.0002884381,0.0007245215,0.0003486496,0.0003999187,0.0006441336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004162175,"about_ca_system_score_gemma":0.0003973131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605994,"about_ca_topic_score_gemma":0.001364097,"domain_scores_codex":[0.9995152,0.00009971775,0.00006318837,0.00004142232,0.0002419072,0.00003868865],"domain_scores_gemma":[0.9997087,0.00007469363,0.00006364772,0.00001507371,0.000123579,0.00001427001],"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":[0.000543071,0.0001847558,0.0009049235,0.002170579,0.00003433561,0.0004744692,0.0002438997,0.008845176,0.8920798,0.004242091,0.0007191221,0.08955771],"study_design_scores_gemma":[0.00007785145,0.001878946,0.0009475334,0.0001337485,0.00008698293,0.0005285922,0.0001417544,0.01060629,0.9406894,0.0008895567,0.04399084,0.00002856365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6358414,0.06251123,0.2761499,0.001489028,0.0005354962,0.001637581,0.0003398083,0.0008747513,0.02062077],"genre_scores_gemma":[0.7873845,0.02408887,0.1743613,0.0003439416,0.0001604217,0.0004812927,0.0002672748,0.0001159998,0.01279643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001156663,"threshold_uncertainty_score":0.004182458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421442829726168,"score_gpt":0.2277474717301443,"score_spread":0.2135330434328827,"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."}}