{"id":"W2075835179","doi":"10.1002/jsl.3000180206","title":"Delivering synthetic performance with VHVI speciality base fluids","year":2001,"lang":"en","type":"article","venue":"Journal of Synthetic Lubrication","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Viscosity index; Base (topology); Process engineering; Viscosity; Biochemical engineering; Automotive industry; Computer science; Base oil; Synthetic oil; Work (physics); Mechanical engineering; Materials science; Engineering; Mathematics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002551617,0.0001544498,0.0002350746,0.0001512603,0.00007656468,0.00004193201,0.000194892,0.00004349149,0.0002092718],"category_scores_gemma":[0.00004146442,0.0001164283,0.00007073427,0.0002493784,0.00006691778,0.0003694096,0.00001419065,0.0001781933,0.00003507021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572302,"about_ca_system_score_gemma":0.00003565571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006242683,"about_ca_topic_score_gemma":0.000002191288,"domain_scores_codex":[0.9989401,0.00003386907,0.0003893858,0.0001152903,0.0003027654,0.0002186498],"domain_scores_gemma":[0.9992619,0.00007815904,0.0001616007,0.0002221897,0.0001608052,0.0001153435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006566579,0.0007510082,0.02742613,0.0005088681,0.0008066423,0.0003393368,0.00353824,0.05730783,0.07320358,0.001478432,0.001630722,0.8323525],"study_design_scores_gemma":[0.004244014,0.001997523,0.5068579,0.003372138,0.0009201069,0.01025878,0.001638538,0.2066613,0.1620415,0.001360547,0.09811319,0.002534524],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639705,0.0003504994,0.02725389,0.0002107223,0.0002443031,0.00009107233,0.000003986256,0.00005865578,0.007816304],"genre_scores_gemma":[0.996905,0.00134687,0.001337228,0.00001939288,0.0002927286,0.000004194958,0.000001157109,0.00003021633,0.00006319168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.829818,"threshold_uncertainty_score":0.474781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009465760348391515,"score_gpt":0.1913649586939612,"score_spread":0.1818991983455697,"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."}}