{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000159173,0.0001475674,0.0003437257,0.0003068717,0.0001322093,0.00001538823,0.0001338665,0.0001715591,0.002007777],"category_scores_gemma":[0.000004860627,0.0001359895,0.0001131584,0.0001693203,0.000132303,0.00008115298,0.000005898723,0.0003557243,0.00002241851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006316481,"about_ca_system_score_gemma":0.0001457432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001405003,"about_ca_topic_score_gemma":0.007749573,"domain_scores_codex":[0.9990312,0.00008760536,0.0003744893,0.0001148268,0.00004729186,0.0003445448],"domain_scores_gemma":[0.9993461,0.0000441553,0.0001072239,0.00007030436,0.00008128739,0.0003508947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000461706,0.00004117315,0.006866494,0.0001802498,0.0008772762,0.0003924295,0.0005267055,0.02928234,0.8075064,0.002509332,0.1465428,0.005228628],"study_design_scores_gemma":[0.003390839,0.0003780522,0.1198074,0.0000401543,0.0006189997,0.001568115,0.0003652003,0.009498431,0.03919373,0.00450986,0.8196995,0.0009296918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876212,0.002640966,0.0002718261,0.0005267242,0.002877346,0.00007147105,0.00003329372,0.0000282107,0.005928906],"genre_scores_gemma":[0.9979415,0.00007905815,0.00004788303,0.0003636934,0.001202792,0.000002539949,0.000006688619,0.00001735811,0.0003384775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7683126,"threshold_uncertainty_score":0.9989045,"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."}}