{"id":"W7071938615","doi":"","title":"UTILIZING COMPUTATIONAL TECHNIQUES TO DESIGN A HYBRID VEHICLE FOR THE ECOCAR MOBILITY CHALLENGE","year":2021,"lang":"en","type":"article","venue":"SMARTech Repository (Georgia Institute of Technology)","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hybrid vehicle; Automotive industry; Network topology; Machining; Robotics; Drivetrain; Robot; Topology (electrical circuits)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003585378,0.00061354,0.0004973818,0.0004277913,0.0006450652,0.001119014,0.0006385749,0.0007789354,0.002992637],"category_scores_gemma":[0.0006954279,0.0004608589,0.0008012654,0.0002686457,0.0006238787,0.0006998452,0.0008354707,0.0007769997,0.0005229067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006230405,"about_ca_system_score_gemma":0.001271784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00458165,"about_ca_topic_score_gemma":0.006032813,"domain_scores_codex":[0.9998536,0.00003471066,0.000005258844,0.0000249682,0.00005892574,0.00002255413],"domain_scores_gemma":[0.999803,0.0001103031,0.00001866235,0.00001597241,0.0000406268,0.00001134003],"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":[0.00001324989,0.00002368192,0.00033167,0.00003967572,0.00001056071,0.00003324116,0.00003861172,0.9760008,0.001815726,0.01060403,0.0003962365,0.01069239],"study_design_scores_gemma":[0.000005218943,0.00001656274,0.00004362356,0.000006483476,0.000003287455,0.000007391867,0.00002400613,0.9949185,0.0004632759,0.002560155,0.001948025,0.000003369857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05406518,0.0001972976,0.9189003,0.0004233787,0.00007246935,0.0001268055,0.0001138698,0.0003286386,0.02577199],"genre_scores_gemma":[0.5480833,0.0003892061,0.4401101,0.0001474571,0.00003186847,0.0005000652,0.0002461732,0.0001752577,0.01031656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00458165,"threshold_uncertainty_score":0.01001132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923787677228556,"score_gpt":0.2368794763381835,"score_spread":0.2176415995658979,"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."}}