{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116958,0.0003608738,0.0001767157,0.0006482753,0.000227841,0.001190664,0.0004257715,0.0004609995,0.005657263],"category_scores_gemma":[0.0001704536,0.0001098058,0.0002115089,0.0005578742,0.00035541,0.001190033,0.0006345166,0.0003824831,0.001471222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003279806,"about_ca_system_score_gemma":0.0002349673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008467056,"about_ca_topic_score_gemma":0.0009383024,"domain_scores_codex":[0.9998583,0.0000186892,0.000007338109,0.00002393774,0.00007521916,0.00001653837],"domain_scores_gemma":[0.9999145,0.00001944532,0.000009755992,0.000008487243,0.00003884989,0.000008907236],"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":[0.0002586097,0.000155505,0.001884283,0.001399315,0.00005357841,0.0008297808,0.0002115154,0.02126783,0.03933669,0.1722195,0.02656334,0.7358199],"study_design_scores_gemma":[0.00002833218,0.0003801196,0.002702138,0.000358296,0.00005299184,0.002092833,0.0004048484,0.05610795,0.03897085,0.06339677,0.8354307,0.00007428198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07342717,0.05631067,0.3160444,0.001682637,0.001908943,0.0002612159,0.0007468463,0.001840544,0.5477775],"genre_scores_gemma":[0.7392152,0.03340293,0.04615394,0.0005377763,0.0005446305,0.0001416823,0.001066274,0.0001542584,0.1787834],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.005657263,"threshold_uncertainty_score":0.01892543,"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."}}