{"id":"W2302528240","doi":"10.4271/2002-01-2595","title":"Disc Brake Wear Debris Generation and Collection","year":2002,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Debris; Brake; Automotive engineering; Computer science; Engineering; Physics; Meteorology","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":[0.001937073,0.001117738,0.001487643,0.005703736,0.002741553,0.001658764,0.001738145,0.001025837,0.01703564],"category_scores_gemma":[0.004031402,0.0007313336,0.0007449658,0.002328712,0.0006830231,0.0009922647,0.001735618,0.001202956,0.01227511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005541275,"about_ca_system_score_gemma":0.001788618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002185464,"about_ca_topic_score_gemma":0.00410124,"domain_scores_codex":[0.9957263,0.0002672963,0.0004309427,0.0005368577,0.002773288,0.000265156],"domain_scores_gemma":[0.9957931,0.000414437,0.0002033647,0.0009867352,0.002486107,0.0001162582],"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":[0.001237926,0.0006263139,0.01015386,0.002172929,0.00005593567,0.0008300666,0.001386905,0.001852216,0.5574014,0.002468029,0.04102926,0.3807852],"study_design_scores_gemma":[0.000162098,0.0009761835,0.02108558,0.0002704994,0.00009293143,0.0008576875,0.0004787183,0.005201736,0.7867473,0.0009802377,0.1829715,0.0001754392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1823488,0.003335381,0.6873278,0.0005568626,0.001485959,0.02453342,0.02491472,0.01938791,0.05610917],"genre_scores_gemma":[0.288563,0.004059914,0.5528718,0.001182528,0.0004047616,0.02537763,0.03585325,0.004762521,0.08692461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01703564,"threshold_uncertainty_score":0.05698985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358749453064633,"score_gpt":0.2059371183692738,"score_spread":0.1923496238386274,"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."}}