{"id":"W2894715350","doi":"10.4271/2019-01-2112","title":"A Study of the Disc Scoring Generation Principle and Reduction(III)","year":2019,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Disc brake; Surface finish; Mechanical engineering; Automotive engineering; Materials science; Brake pad; Reduction (mathematics); Computer science; Physics; Brake; Engineering; Mathematics; Geometry","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":[0.0007397301,0.000407781,0.0004396826,0.0006426334,0.0005143376,0.0009842133,0.001168275,0.0006056628,0.005177531],"category_scores_gemma":[0.001772781,0.0003066389,0.0005681008,0.0004915689,0.0009692998,0.0008654148,0.0006214648,0.0006975959,0.00113566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005175323,"about_ca_system_score_gemma":0.0005886259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210803,"about_ca_topic_score_gemma":0.0006526871,"domain_scores_codex":[0.9989883,0.0001532706,0.0000320403,0.0001660478,0.0006040502,0.00005625619],"domain_scores_gemma":[0.9993821,0.0002065354,0.00004162382,0.0001444534,0.0002064233,0.00001882342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003220301,0.00019723,0.003027217,0.0006627931,0.00004399822,0.0003537993,0.0007333429,0.04939061,0.1098563,0.3220485,0.00621976,0.5071444],"study_design_scores_gemma":[0.00003742188,0.0004705876,0.004045137,0.0000503033,0.00005312526,0.001112975,0.0002406568,0.8635904,0.05632226,0.04984568,0.02417079,0.00006070417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03182994,0.000523383,0.9357987,0.0002201822,0.0001057093,0.0002124859,0.00005292028,0.0002479074,0.03100883],"genre_scores_gemma":[0.6213761,0.0005944155,0.3498286,0.0001304701,0.0001301929,0.0001925349,0.0001666082,0.0001923064,0.02738886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005177531,"threshold_uncertainty_score":0.01732057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03027217546380862,"score_gpt":0.3457925105125493,"score_spread":0.3155203350487407,"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."}}