{"id":"W2769160787","doi":"10.1109/ecce.2017.8096414","title":"Optimal gear ratios selection for a nissan leaf: A case study of InGear transmission system","year":2017,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Selection (genetic algorithm); Transmission (telecommunications); Computer science; Transmission system; Automotive engineering; Environmental science; Engineering; Telecommunications; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001843143,0.00009856818,0.0002027843,0.00004477807,0.0002380783,0.00007459013,0.00009956351,0.00005751531,0.000004433737],"category_scores_gemma":[0.000005022534,0.00008731869,0.00005352853,0.00002752374,0.000006550783,0.0001086259,0.000007883463,0.00005632242,0.000001302888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003829798,"about_ca_system_score_gemma":0.000009423524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082326,"about_ca_topic_score_gemma":0.0004769685,"domain_scores_codex":[0.9993976,0.00001717515,0.0002369517,0.0001232387,0.0000920321,0.0001330339],"domain_scores_gemma":[0.9996035,0.000015883,0.00005913854,0.0002150001,0.00005841762,0.00004803475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004645202,0.0008680842,0.01368939,0.003816965,0.001180867,0.0005004227,0.01538321,0.7414681,0.1439801,0.003019384,0.0005456525,0.07508337],"study_design_scores_gemma":[0.001439367,0.0003237485,0.000164522,0.0000361858,0.00003704624,0.0001930365,0.004016698,0.9930858,0.0004670308,8.188816e-7,0.0001358785,0.00009988723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945324,0.000020728,0.10355,0.000008216636,0.0001118049,0.0007941347,0.000003335266,0.0001295298,0.0008498482],"genre_scores_gemma":[0.9990385,8.622471e-7,0.0006080501,8.310459e-7,0.00006837412,0.00009919218,8.59807e-7,0.00002456479,0.000158822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2516177,"threshold_uncertainty_score":0.3560753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251924669111421,"score_gpt":0.2360259435314362,"score_spread":0.223506696840322,"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."}}