{"id":"W2026916891","doi":"10.1016/j.trd.2012.03.001","title":"Who can recharge a plug-in electric vehicle at home?","year":2012,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; California Energy Commission","keywords":"Electric vehicle; Sample (material); Plug-in; Groundwater recharge; Business; Electric cars; Transport engineering; Environmental economics; Advertising; Engineering; Computer science; Automotive engineering; Economics; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004366616,0.000196028,0.0002246793,0.0002022603,0.0001310415,0.00000911076,0.00009859172,0.0001415333,0.0005766048],"category_scores_gemma":[9.659643e-7,0.0001951464,0.00005251733,0.000357627,0.0000603034,0.0001793994,0.000002551665,0.0004521077,0.00003481934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044786,"about_ca_system_score_gemma":0.00001289109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159101,"about_ca_topic_score_gemma":0.0004296601,"domain_scores_codex":[0.9980387,0.00003544954,0.000333349,0.0002490004,0.0004680917,0.0008754236],"domain_scores_gemma":[0.9994667,0.00003539235,0.00001820385,0.0001775014,0.000009538508,0.0002927067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006130031,0.00009059512,0.9756581,0.0001401737,0.00003957932,0.00002771358,0.002008878,0.00314444,0.01095211,0.0004795443,0.0006522029,0.006745356],"study_design_scores_gemma":[0.0006042235,0.00006634296,0.9640598,0.00002286259,0.00001435752,0.000001778485,0.00004646695,0.001013988,0.005774436,0.0001470362,0.02800914,0.0002395546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967003,0.002020952,0.0001029204,0.0001741853,0.0000532117,0.0003288275,0.00004601372,0.000067996,0.0005055701],"genre_scores_gemma":[0.9935888,0.005597251,0.00006967317,0.00002817058,0.00007841733,0.00009778964,0.000134154,0.00004265531,0.0003631098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02735694,"threshold_uncertainty_score":0.7957839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872151421943014,"score_gpt":0.237140701437443,"score_spread":0.2184191872180129,"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."}}