{"id":"W1968608436","doi":"10.1109/apec.2014.6803684","title":"Designing and testing battery charger systems for California's new efficiency regulations","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Delta-Q Technologies (Canada)","funders":"","keywords":"Battery (electricity); Efficient energy use; Software; Battery charger; Test (biology); Engineering; Lead–acid battery; Greenhouse gas; Automotive engineering; Reliability engineering; Computer science; Systems engineering; Electrical engineering; Embedded system; Operating system","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":[0.002985232,0.0004195833,0.0003857338,0.0005678745,0.001296836,0.001425317,0.001691003,0.000633187,0.003138803],"category_scores_gemma":[0.00417546,0.0003195126,0.0003103731,0.0003797864,0.0006267644,0.001315061,0.0005646855,0.0007002412,0.000695718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648337,"about_ca_system_score_gemma":0.002272939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848951,"about_ca_topic_score_gemma":0.03548757,"domain_scores_codex":[0.9974331,0.0002994747,0.000155822,0.0002467293,0.001722542,0.000142414],"domain_scores_gemma":[0.9971174,0.0006334234,0.0001410849,0.0004934758,0.00152364,0.00009097134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009215669,0.001335495,0.04007193,0.001667645,0.0001305615,0.0005666385,0.002441147,0.1018687,0.3098619,0.02173184,0.03187653,0.4875261],"study_design_scores_gemma":[0.0009879848,0.007236053,0.0777335,0.0004301732,0.000354104,0.0009844418,0.00263442,0.1745979,0.4332462,0.005749961,0.2956832,0.0003620613],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7489897,0.001409916,0.1754763,0.001635594,0.0002817473,0.001627136,0.001234714,0.007574196,0.06177079],"genre_scores_gemma":[0.8814965,0.0007139134,0.1013583,0.000293124,0.00004284262,0.0006164345,0.001370022,0.0004253152,0.01368357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01848951,"threshold_uncertainty_score":0.03676379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459914031214916,"score_gpt":0.2576241017793523,"score_spread":0.2230249614672031,"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."}}