{"id":"W3110754367","doi":"","title":"Smart braking actuator control for a heavy weighted electric vehicle","year":2020,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Dynamic braking; Actuator; Control (management); Electric vehicle; Valve actuator; Computer science; Engineering; Retarder; Physics; Power (physics); Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0006059741,0.0002254437,0.0003502842,0.000252211,0.0001242266,0.00008022446,0.000501495,0.0002075868,0.00003074991],"category_scores_gemma":[0.0009012395,0.0002275563,0.0001183174,0.00122755,0.00001955675,0.0001080205,0.00007290687,0.001001535,0.0000733874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160551,"about_ca_system_score_gemma":0.00004467037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005653798,"about_ca_topic_score_gemma":8.690534e-7,"domain_scores_codex":[0.9978012,0.00002973716,0.0002969007,0.0003634813,0.0004420797,0.001066554],"domain_scores_gemma":[0.9986091,0.0007168315,0.00001513143,0.0002622747,0.0001289783,0.0002677311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002441769,0.00006743109,0.00006500032,0.0005569122,0.0002447785,0.00005132674,0.0000761571,0.007854562,0.9141752,0.03091234,0.006388752,0.03936337],"study_design_scores_gemma":[0.0007738853,0.0003424893,0.00006744682,0.00002176102,0.00001090812,0.000004588403,0.000007776895,0.8461752,0.1455761,0.000666295,0.006124547,0.0002290554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4405658,0.001622323,0.5462254,0.003707976,0.0002359564,0.001599996,0.00002565882,0.005761174,0.0002557318],"genre_scores_gemma":[0.9966662,0.00007530176,0.002525813,0.0001073934,0.0002428503,0.0002559463,0.000004054026,0.0001019723,0.00002045369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8383206,"threshold_uncertainty_score":0.9279475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03418737623729259,"score_gpt":0.2733757184775284,"score_spread":0.2391883422402358,"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."}}