{"id":"W1485286033","doi":"10.1002/047134608x.w8191","title":"Hybrid and Plug‐In Hybrid Electric Vehicles","year":2013,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Plug-in; Automotive industry; Automotive engineering; Hybrid vehicle; Electricity; Hybrid power; Hybrid system; Automotive engine; Electric vehicle; Green vehicle; Engineering; Computer science; Fuel efficiency; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000870474,0.0003921029,0.0005090401,0.0009012732,0.00001849945,0.00002280858,0.0002462818,0.0001882211,0.00004370163],"category_scores_gemma":[0.00008992212,0.0004081101,0.00004309687,0.000520113,0.00004490543,0.0001020026,0.00007699924,0.0008530267,0.000007994611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013158,"about_ca_system_score_gemma":0.00003350236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002730172,"about_ca_topic_score_gemma":0.000005020057,"domain_scores_codex":[0.9981351,0.0000128679,0.0003275567,0.0003707428,0.0002067822,0.0009469258],"domain_scores_gemma":[0.9994428,0.0001207472,0.00004508986,0.000249318,0.00001580598,0.0001262048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004353774,0.0001881613,0.002485491,0.001824945,0.0004682559,0.0001809479,0.0000500145,0.009616451,0.03451174,0.01460054,0.07439476,0.8616351],"study_design_scores_gemma":[0.001509091,0.0006791882,0.001263998,0.0005296617,0.00006672682,0.0002624019,0.000005207575,0.5270287,0.02343896,0.002950105,0.4400428,0.002223121],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3586864,0.4630415,0.03378742,0.000156088,0.0003474929,0.002117516,0.00003958458,0.004405993,0.137418],"genre_scores_gemma":[0.6319792,0.3480214,0.003605803,0.00002168253,0.0002445389,0.0002200206,0.00001812194,0.001004244,0.01488504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.859412,"threshold_uncertainty_score":0.9998371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003838939364439969,"score_gpt":0.196176116461546,"score_spread":0.192337177097106,"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."}}