{"id":"W4387573262","doi":"10.3390/en16207048","title":"Dual-Motor Dual-Source High Performance EV: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Dual (grammatical number); Powertrain; Electric motor; Computer science; Automotive engineering; Electric vehicle; Engineering; Electrical engineering; Torque; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004940002,0.0009215385,0.001060706,0.002374877,0.0002236977,0.0009093228,0.0007319675,0.0007492275,0.004760162],"category_scores_gemma":[0.0006267638,0.0003580104,0.0006898041,0.002505115,0.0001889053,0.001253735,0.0005103623,0.0007055286,0.001659232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120652,"about_ca_system_score_gemma":0.001193625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142799,"about_ca_topic_score_gemma":0.001886143,"domain_scores_codex":[0.9998322,0.00002066527,0.00002697147,0.00003581429,0.00006792152,0.00001649613],"domain_scores_gemma":[0.9996101,0.0001777974,0.00005998183,0.00001172961,0.0001180358,0.00002233648],"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":[0.00007507636,0.0001311348,0.0003838471,0.05778344,0.0002145578,0.0001951391,0.00007901584,0.001875591,0.002854568,0.00808366,0.02403661,0.9042873],"study_design_scores_gemma":[0.000007573749,0.000149011,0.000938148,0.007189197,0.0003373775,0.0005488651,0.00008066255,0.0004103076,0.001088434,0.001861519,0.987363,0.00002602845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004755121,0.9960368,0.0004672951,0.0001923459,0.0001435637,0.00001075679,0.00005349153,0.00001343126,0.002606757],"genre_scores_gemma":[0.002314582,0.9962441,0.0004617521,0.00008645831,0.0000879068,0.00000841047,0.00006840883,0.000003131896,0.0007252762],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004760162,"threshold_uncertainty_score":0.01592439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175254907920342,"score_gpt":0.2559264200015015,"score_spread":0.2341738709222981,"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."}}