{"id":"W4362682885","doi":"10.1109/icapc57304.2022.00094","title":"Fast Charging Technology for Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Automotive industry; New energy; China; Government (linguistics); Green vehicle; Automotive engineering; Miles per gallon gasoline equivalent; Fossil fuel; Electric vehicle; Business; Automotive engine; Engineering; Power (physics); Fuel efficiency; Mechanical engineering; Waste management","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":[0.0001573861,0.0003025733,0.0002365098,0.0004699807,0.0004212114,0.001161521,0.0005683773,0.0008192417,0.004102522],"category_scores_gemma":[0.0004205382,0.0001969392,0.000328418,0.0004700453,0.0004117867,0.001734134,0.0004499605,0.0007277753,0.001882404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006079267,"about_ca_system_score_gemma":0.000295136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003014877,"about_ca_topic_score_gemma":0.00024933,"domain_scores_codex":[0.9997522,0.00002604405,0.000009441106,0.00003622658,0.0001495442,0.00002653129],"domain_scores_gemma":[0.9998858,0.00002880296,0.00001083992,0.00001468296,0.00005290042,0.00000689504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001003919,0.00008579918,0.0003560325,0.001055572,0.0000298351,0.0007165792,0.0004129435,0.00512048,0.2209244,0.4088247,0.01836133,0.344012],"study_design_scores_gemma":[0.00002837736,0.0004903266,0.0004847017,0.000188739,0.00003676199,0.002875868,0.0002106286,0.02187917,0.1883658,0.06556095,0.7197869,0.00009165845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0553691,0.04758573,0.6309625,0.005177737,0.006389025,0.0002926597,0.0002682557,0.001168188,0.2527869],"genre_scores_gemma":[0.6648695,0.04250054,0.1052982,0.001460193,0.001052473,0.0002083259,0.0002910285,0.0002253649,0.1840944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004102522,"threshold_uncertainty_score":0.01372433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282094438196417,"score_gpt":0.2556681171767967,"score_spread":0.2428471727948325,"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."}}