{"id":"W3093260109","doi":"","title":"Artificial intelligence for smart electric vehicle braking system","year":2020,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Braking system; Electric vehicle; Computer science; Engineering; Brake; Power (physics)","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":[0.0001523404,0.0001937105,0.0002692044,0.000207627,0.0001975789,0.0004704682,0.0003193677,0.0003458778,0.001640584],"category_scores_gemma":[0.0002880622,0.00007419317,0.0001990912,0.0001788023,0.0001396081,0.0003750583,0.0002136432,0.0003510227,0.0002819779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986814,"about_ca_system_score_gemma":0.00026391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794961,"about_ca_topic_score_gemma":0.001406449,"domain_scores_codex":[0.9998937,0.00002230396,0.000008933319,0.00002243524,0.00003817131,0.00001446315],"domain_scores_gemma":[0.9999154,0.00002619043,0.000008018328,0.00001021256,0.00003656238,0.000003623911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002753162,0.0002272157,0.002897133,0.0003119875,0.0001102343,0.0003294796,0.0001624253,0.4421023,0.05456709,0.03111262,0.006878644,0.4610256],"study_design_scores_gemma":[0.00001073963,0.00007378192,0.0008653906,0.00001028634,0.00001818244,0.00005273037,0.00001866973,0.9862217,0.004339924,0.004385268,0.003996891,0.00000639656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1332717,0.002572017,0.8202643,0.0007870388,0.0003421919,0.0001228887,0.0001718848,0.001640128,0.04082777],"genre_scores_gemma":[0.9470777,0.0005001759,0.04426756,0.0001168448,0.0000452902,0.00005837703,0.0001488468,0.00001796741,0.007767283],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001794961,"threshold_uncertainty_score":0.005488336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06893754660720529,"score_gpt":0.294165151706216,"score_spread":0.2252276050990107,"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."}}