{"id":"W4321498171","doi":"10.3390/en16052104","title":"Influence of Battery Energy, Charging Power, and Charging Locations upon EVs’ Ability to Meet Trip Needs","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"University of California, Davis","keywords":"Battery (electricity); Automotive engineering; Sample (material); Transport engineering; Electric vehicle; Driving range; Population; 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":[0.001076294,0.000355505,0.000277211,0.0004448413,0.0002768293,0.000928718,0.0004295437,0.0004386519,0.001471776],"category_scores_gemma":[0.00765879,0.0002238475,0.0005098056,0.00040013,0.0003310046,0.0009143719,0.0005929021,0.0004003698,0.0003668595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004964347,"about_ca_system_score_gemma":0.0004254243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526073,"about_ca_topic_score_gemma":0.01920585,"domain_scores_codex":[0.9994742,0.0001501283,0.00002861142,0.00009631301,0.00008431695,0.000166364],"domain_scores_gemma":[0.9950642,0.003456649,0.0003814994,0.0003061858,0.0005119721,0.0002795638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00110366,0.0002749641,0.7164442,0.00004017277,0.0002230854,0.0003230349,0.0001589739,0.262789,0.00546343,0.0004020365,0.0006506289,0.01212691],"study_design_scores_gemma":[0.00004200807,0.0009038624,0.6747867,0.00001487424,0.0001533266,0.0003896922,0.001486418,0.3138126,0.006559,0.0005064525,0.001299626,0.00004564284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989921,0.00001932472,0.00027226,0.00002083904,0.000001550665,0.000004647133,0.0001410337,0.00001247767,0.0005358015],"genre_scores_gemma":[0.9994393,0.00001362529,0.0001199735,0.000005436383,9.535631e-7,0.000002948691,0.0002307873,0.000005747838,0.0001812448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01526073,"threshold_uncertainty_score":0.03034377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004967595403088396,"score_gpt":0.2023028066795471,"score_spread":0.1973352112764588,"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."}}