{"id":"W4416892269","doi":"10.1002/cjce.70171","title":"Optimizing journal bearing performance with bio‐lubricants using <scp>TOPSIS</scp> analysis","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lubricant; Cavitation; Viscosity; Volume (thermodynamics); Castor oil; Eccentricity (behavior); Laminar flow; Bearing (navigation)","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":[0.0004032403,0.0002355112,0.0003986916,0.0009765048,0.0001823952,0.0001318208,0.0004920125,0.0001301251,0.000009765877],"category_scores_gemma":[0.0001355493,0.0001885551,0.0001686286,0.001604828,0.00007071099,0.0002614177,0.00001763916,0.0009855883,0.000001549338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600055,"about_ca_system_score_gemma":0.0003144832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000730005,"about_ca_topic_score_gemma":0.00004189375,"domain_scores_codex":[0.9986565,0.00001461881,0.0004864867,0.0001106383,0.0001929936,0.0005388256],"domain_scores_gemma":[0.9989579,0.0001706698,0.0001146219,0.0002100689,0.0001594066,0.0003873595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002129313,0.000002736011,0.002447368,0.00003503879,0.0008037073,0.00003226052,0.0002777969,0.9832052,0.01256982,0.00007427247,0.00008232619,0.0004673231],"study_design_scores_gemma":[0.0005281127,0.0000243111,0.004768841,0.0003350542,0.0009339987,0.0009927198,0.00008697788,0.9321216,0.05774109,0.00001828095,0.002240528,0.0002084793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150727,0.001591925,0.08244693,0.00008450402,0.0003896127,0.00005295885,0.000002410324,0.00005313987,0.000305816],"genre_scores_gemma":[0.9936845,0.00002476764,0.006037483,0.00003368824,0.0001553057,0.00000184597,0.000001284798,0.00003434182,0.00002673092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07861185,"threshold_uncertainty_score":0.7689054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007143898896859804,"score_gpt":0.1852763632255274,"score_spread":0.1781324643286676,"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."}}