{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005579133,0.0001961957,0.0001830546,0.0003257171,0.0005247184,0.001500858,0.0007230337,0.000438013,0.002680161],"category_scores_gemma":[0.002064914,0.0002825627,0.0002279898,0.0006558716,0.0002633729,0.0008289555,0.0006438277,0.0005339798,0.00016367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036087,"about_ca_system_score_gemma":0.00113637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2144515,"about_ca_topic_score_gemma":0.3744167,"domain_scores_codex":[0.9994973,0.00006831336,0.00001624854,0.0001423849,0.0001540899,0.0001217338],"domain_scores_gemma":[0.9991799,0.0003339046,0.0001456889,0.00005143444,0.0002052817,0.00008380534],"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":[0.0002760557,0.000345321,0.8950312,0.0001238953,0.00009477567,0.000572262,0.001211988,0.06636426,0.001405227,0.002163079,0.006235784,0.0261763],"study_design_scores_gemma":[0.00004410968,0.0003431158,0.8927593,0.00007198453,0.00006971851,0.0001353678,0.008462608,0.08309001,0.00113899,0.001620098,0.01220942,0.00005524489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914672,0.00008643656,0.0005403042,0.0001258617,0.000006076698,0.00001995653,0.0006960597,0.00002757614,0.007030517],"genre_scores_gemma":[0.9980008,0.00008609926,0.0004645593,0.00002580617,0.000002956738,0.00001225341,0.000657499,0.000004341385,0.0007457651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2144515,"threshold_uncertainty_score":0.4264066,"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."}}