{"id":"W2140638370","doi":"10.5539/mer.v3n1p170","title":"Design analysis of Hub, Rim and Drum in Brake Assembly","year":2013,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brake; Drum; Automotive engineering; Torque; Electronic brakeforce distribution; Hydraulic brake; Axle; Transient (computer programming); Engineering; Brake pad; Power (physics); Dynamic braking; Structural engineering; Computer science; Mechanical 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":[0.0008621279,0.00056955,0.0006918088,0.0007451319,0.0004508072,0.001083964,0.0008431833,0.001222341,0.002773748],"category_scores_gemma":[0.001110315,0.0005925513,0.0005520181,0.00028513,0.0004980255,0.0003144871,0.000530237,0.0004012081,0.0007218079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397042,"about_ca_system_score_gemma":0.0006740893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002160321,"about_ca_topic_score_gemma":0.002815432,"domain_scores_codex":[0.9995407,0.000146053,0.00001402085,0.00004905066,0.0001822825,0.00006787512],"domain_scores_gemma":[0.9996056,0.0001322549,0.00007886397,0.00003168493,0.0001186502,0.00003295016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000196402,0.00007038522,0.001563376,0.0004631526,0.00003391476,0.0002595794,0.0002341844,0.9091066,0.05182561,0.005369196,0.000465093,0.03041259],"study_design_scores_gemma":[0.00001239723,0.0004193249,0.001115832,0.00003611932,0.00003065293,0.00008756158,0.0001001949,0.9871628,0.006959639,0.001069411,0.002992845,0.00001330655],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.194995,0.0007724101,0.7817369,0.0001446191,0.00006173611,0.0001801528,0.000094917,0.0003459872,0.02166828],"genre_scores_gemma":[0.9514516,0.0003645196,0.04091241,0.00002204143,0.00001409691,0.0001524342,0.00005511385,0.00006586465,0.006961993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002773748,"threshold_uncertainty_score":0.009279132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05448122906227131,"score_gpt":0.311252850025006,"score_spread":0.2567716209627346,"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."}}