{"id":"W2002991263","doi":"10.1109/tvt.2012.2210259","title":"An Automotive Onboard 3.3-kW Battery Charger for PHEV Application","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":270,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Delta-Q Technologies (Canada)","funders":"","keywords":"Battery charger; Battery (electricity); Battery pack; Engineering; Electrical engineering; Automotive engineering; Automotive battery; Automotive industry; Electric vehicle; Power (physics)","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":[0.0001514469,0.00044942,0.0004848154,0.0002680636,0.0002776744,0.0005598638,0.0009378532,0.0006630534,0.004914836],"category_scores_gemma":[0.0002113569,0.0002015077,0.0004824405,0.0002388187,0.0001001984,0.000471975,0.0002565234,0.0005261477,0.002854241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378395,"about_ca_system_score_gemma":0.0003690284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005863293,"about_ca_topic_score_gemma":0.0009704183,"domain_scores_codex":[0.9997826,0.0000273667,0.000009104376,0.00003678517,0.0001106703,0.00003346725],"domain_scores_gemma":[0.9998617,0.0000136369,0.00001328346,0.00002285851,0.00007396093,0.00001451723],"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":[0.0005383627,0.000239864,0.002087088,0.000733322,0.0001200464,0.0009209399,0.0002162804,0.006639152,0.7727412,0.003411346,0.01146241,0.20089],"study_design_scores_gemma":[0.0002146355,0.00397363,0.01516328,0.00006598807,0.0002314033,0.0070182,0.0001946299,0.07708391,0.7400146,0.00135704,0.1545683,0.0001144024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2989095,0.0009032847,0.6418818,0.0006512898,0.0006008632,0.0006653887,0.000921455,0.005332375,0.05013405],"genre_scores_gemma":[0.9030433,0.000479886,0.05876794,0.0003192504,0.00007682035,0.0002150721,0.0007034459,0.0002346743,0.03615974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004914836,"threshold_uncertainty_score":0.01644182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298026509595089,"score_gpt":0.2740602894836572,"score_spread":0.2610800243877063,"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."}}