{"id":"W2793709300","doi":"10.1007/s42154-018-0008-x","title":"Design of a Regenerative Auxiliary Power System for Service Vehicles","year":2018,"lang":"en","type":"article","venue":"Automotive Innovation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Astellas Pharma US","keywords":"Power (physics); Service (business); Automotive engineering; Regenerative brake; Computer science; Systems engineering; Engineering; Business; Physics; Marketing","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":[0.0002450588,0.0001081121,0.000139203,0.0002740668,0.00005496289,0.000009913544,0.0001633336,0.0000985822,0.000007557758],"category_scores_gemma":[0.0001593535,0.0001060257,0.00001254769,0.001373388,0.00007542991,0.0001950082,0.00003952265,0.0000947933,0.00002011222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588117,"about_ca_system_score_gemma":0.00002721708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002573847,"about_ca_topic_score_gemma":0.000001232123,"domain_scores_codex":[0.9992417,0.00002417483,0.0002619276,0.0001510719,0.0001318907,0.0001893141],"domain_scores_gemma":[0.9981579,0.0001155677,0.00006877661,0.000211374,0.001437062,0.000009347584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006202504,0.0000253583,0.0001043987,0.0002693817,0.00009282352,0.000001515163,0.0006897519,0.01164511,0.9572194,0.01803816,0.001916803,0.009935281],"study_design_scores_gemma":[0.0002713788,0.0002076672,0.0007412819,0.00007368009,0.000003757256,0.000001986905,0.0004181584,0.08449275,0.9119471,0.001504461,0.000224779,0.0001129702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3022897,0.00001986221,0.6957858,0.0001492013,0.0001508149,0.0004852428,0.00001947277,0.0005459051,0.0005540889],"genre_scores_gemma":[0.9714894,0.000001250048,0.02823038,0.00004849354,0.00004237726,0.0001096864,0.00001516813,0.00002801848,0.00003526773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6691997,"threshold_uncertainty_score":0.4323603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788047747331463,"score_gpt":0.2892159111649683,"score_spread":0.2513354336916537,"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."}}