{"id":"W8909775","doi":"","title":"Brake Squeal -Make your own brake shims?","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Physiology and Pharmacology","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brake; Automotive engineering; Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017335,0.0008520847,0.0006353505,0.000588893,0.001856039,0.00202619,0.000915124,0.002466274,0.0425923],"category_scores_gemma":[0.003767108,0.0002387435,0.0007786816,0.0003068165,0.00305408,0.004790636,0.002051627,0.003798594,0.02366168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005513179,"about_ca_system_score_gemma":0.0008111765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281113,"about_ca_topic_score_gemma":0.003736293,"domain_scores_codex":[0.9994059,0.0002126278,0.00003208893,0.00008173934,0.0001338927,0.0001337897],"domain_scores_gemma":[0.9988534,0.0001280823,0.0001271449,0.0001122617,0.0003059433,0.000473114],"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":[0.00172648,0.0007686146,0.006438387,0.001985718,0.0002629848,0.001822802,0.004763877,0.0001440002,0.02027712,0.01376255,0.4575597,0.4904878],"study_design_scores_gemma":[0.0001273052,0.001331249,0.005739995,0.001321577,0.0001300933,0.002851084,0.01365416,0.0001877287,0.00564568,0.01625321,0.9526596,0.00009835283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1151181,0.1398549,0.01853189,0.4851029,0.06348922,0.0004072712,0.0008423876,0.004611312,0.172042],"genre_scores_gemma":[0.3567963,0.06605905,0.02417122,0.213355,0.01318973,0.000273887,0.0007435705,0.001840124,0.323571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0425923,"threshold_uncertainty_score":0.1424854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008882582600443665,"score_gpt":0.2217752184804598,"score_spread":0.2128926358800161,"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."}}