{"id":"W2318970602","doi":"10.1504/ijpt.2016.075181","title":"State-of-the-art electrified powertrains - hybrid, plug-in, and electric vehicles","year":2016,"lang":"en","type":"article","venue":"International Journal of Powertrains","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Electrification; Automotive engineering; Truck; Automotive industry; Engineering; Electric vehicle; Electricity; Power (physics); Electrical engineering; Torque","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267859,0.0003015659,0.0002323,0.001628656,0.0002046198,0.001498311,0.0005382515,0.0003613232,0.003575755],"category_scores_gemma":[0.0004561863,0.000195129,0.0002014647,0.00244615,0.0002669598,0.00201145,0.000329756,0.00034543,0.0007695298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004917134,"about_ca_system_score_gemma":0.0004481515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311348,"about_ca_topic_score_gemma":0.001985642,"domain_scores_codex":[0.9996945,0.00002006044,0.00002788612,0.00005905204,0.000176052,0.00002255992],"domain_scores_gemma":[0.999693,0.00012139,0.00005361528,0.00001968456,0.0001002658,0.00001210468],"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":[0.00009141971,0.0001328125,0.002985928,0.003943987,0.00004449806,0.000230172,0.0001597123,0.005357079,0.01127316,0.01439007,0.007136688,0.9542544],"study_design_scores_gemma":[0.000008551859,0.0004490117,0.01859341,0.002399033,0.0001071111,0.001438074,0.0008157775,0.005772952,0.01836186,0.009874175,0.9421147,0.000065364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1025049,0.7011806,0.02832175,0.001173068,0.0004087725,0.0001411257,0.001228901,0.0003771843,0.1646637],"genre_scores_gemma":[0.2520205,0.7043992,0.01434984,0.000370229,0.0003519143,0.00006138203,0.00170678,0.00005041195,0.02668978],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003575755,"threshold_uncertainty_score":0.01196206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005683663644533715,"score_gpt":0.2118291467229767,"score_spread":0.206145483078443,"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."}}