{"id":"W1480387990","doi":"","title":"Anticipating PHEV Energy Impacts in California","year":2009,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; California Energy Commission","keywords":"Groundwater recharge; Respondent; Electricity; Environmental economics; Environmental science; Natural resource economics; Automotive engineering; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008438948,0.0003797185,0.0003422289,0.0002651373,0.00007063155,0.0007082199,0.0003647059,0.0002261574,0.0002658253],"category_scores_gemma":[0.00006772066,0.0003569361,0.0001257653,0.0008699827,0.00002662874,0.002382865,0.00005280735,0.0005796746,0.0003629242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007349742,"about_ca_system_score_gemma":0.0000460339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004321101,"about_ca_topic_score_gemma":0.000002717526,"domain_scores_codex":[0.998039,0.00003085721,0.000530275,0.0003197136,0.0002704833,0.0008096633],"domain_scores_gemma":[0.9992447,0.00005887078,0.00006038446,0.0002981042,0.0000162053,0.0003217295],"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":[0.000177875,0.00037062,0.3455985,0.0002252889,0.0001221317,0.0004871184,0.0001436906,0.006679567,0.01398636,0.005806429,0.02121847,0.605184],"study_design_scores_gemma":[0.004263741,0.000776449,0.1663883,0.0008777543,0.00005731547,0.0002050265,0.00008623934,0.08405748,0.08917174,0.09559947,0.5541848,0.004331636],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568191,0.0009750337,0.000676791,0.0002933879,0.0001092588,0.0001371443,0.0007796732,0.0009668038,0.03924286],"genre_scores_gemma":[0.9978483,0.00006629025,0.0005454626,0.0008402003,0.0002120663,0.000006032637,0.0002958581,0.00008788472,0.00009791186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6008523,"threshold_uncertainty_score":0.9998882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006151292231372864,"score_gpt":0.1906787761656377,"score_spread":0.1845274839342648,"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."}}