{"id":"W4413264024","doi":"10.2139/ssrn.5382992","title":"Reducing Emissions and Metallic Content of Brake Particles Using an Alumina Coating","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Electromagnetic wave absorption materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Coating; Brake; Materials science; Metal; Content (measure theory); Metallurgy; Composite material; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004167955,0.0003238762,0.0006747802,0.0002019291,0.0002939483,0.0002281546,0.000478909,0.0002047848,0.000130708],"category_scores_gemma":[0.0003601396,0.000296724,0.0001288205,0.0001194405,0.0001676482,0.0002082703,0.0004255176,0.001284581,0.000002410965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005194006,"about_ca_system_score_gemma":0.003362102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006226075,"about_ca_topic_score_gemma":0.0001494633,"domain_scores_codex":[0.9957685,0.0005801769,0.001007726,0.000517169,0.0003903643,0.001736009],"domain_scores_gemma":[0.9980686,0.0001121083,0.000974986,0.000424041,0.0002571264,0.0001631062],"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":[0.00004014294,0.00007424337,0.00009623039,0.00009354707,0.000073411,0.000002127685,0.0003021882,0.0004721139,0.9892514,0.008269903,0.000004105466,0.001320618],"study_design_scores_gemma":[0.0006218104,0.0005038544,0.0003403875,0.0007842911,0.0004129624,0.0005059082,0.001765548,0.001860394,0.8446275,0.1481268,0.00001484816,0.0004356867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929075,0.00357953,0.002463339,0.0001956427,0.0004408576,0.0002888279,0.00002866283,0.00004399487,0.00005168923],"genre_scores_gemma":[0.9923957,0.001265489,0.005592478,0.00003127438,0.0002210297,0.000009731974,0.00000798592,0.00002868048,0.0004476351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1446239,"threshold_uncertainty_score":0.9999485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05726235338911412,"score_gpt":0.3051559040213856,"score_spread":0.2478935506322715,"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."}}