{"id":"W2995542920","doi":"10.1155/2019/9572746","title":"Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Energy storage; Smart grid; Grid; Environmental economics; Engineering; Electric potential energy; Automotive engineering; Transport engineering; Computer science; Energy (signal processing); Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001063608,0.0001490308,0.0002579057,0.00014787,0.00004124116,0.00004423671,0.00008019205,0.00008817587,0.000005786163],"category_scores_gemma":[0.000007052312,0.0001271438,0.00004902695,0.0004043893,0.000007839917,0.0005182913,8.100927e-7,0.0002743412,4.178237e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218481,"about_ca_system_score_gemma":0.00004054036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003085292,"about_ca_topic_score_gemma":0.000004518906,"domain_scores_codex":[0.9990473,0.00001942447,0.0004279269,0.0001004168,0.0001895676,0.0002153978],"domain_scores_gemma":[0.9994511,0.00002721592,0.0002034293,0.00007000587,0.0001656907,0.00008253831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003056072,0.00003918252,0.005453906,0.0004027483,0.0001751206,0.0000861973,0.001194381,0.6302462,0.3498615,0.001771587,0.001978593,0.008484987],"study_design_scores_gemma":[0.01830005,0.007942662,0.2491205,0.001227724,0.0008491908,0.0005719327,0.01884935,0.3278459,0.2459057,0.003431987,0.1225078,0.003447213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782207,0.005481717,0.01590306,0.00001157246,0.000188021,0.0001033187,0.000009573385,0.00004100105,0.00004103211],"genre_scores_gemma":[0.9988883,0.0004720372,0.0003155181,0.00001206406,0.00004714462,0.000002644916,0.00003281533,0.00002829217,0.0002011979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3024004,"threshold_uncertainty_score":0.5184772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001514179736875249,"score_gpt":0.1643539472828939,"score_spread":0.1628397675460187,"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."}}