{"id":"W4401013568","doi":"10.1016/b978-0-443-13969-7.00003-5","title":"Forecasting of vehicle electrification in modern power grids","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Q & T Research; Université de Sherbrooke","funders":"","keywords":"Electrification; Power grid; Power (physics); Automotive engineering; Electrical engineering; Computer science; Engineering; Electricity; 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":[0.0002524075,0.000488005,0.0002508943,0.0006273584,0.0001005986,0.0007954313,0.0004345636,0.0005953126,0.004915592],"category_scores_gemma":[0.000696755,0.000163473,0.0002121227,0.001268518,0.0001537549,0.001447709,0.0002056155,0.0004748794,0.001344261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000398398,"about_ca_system_score_gemma":0.000211285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004889993,"about_ca_topic_score_gemma":0.005979936,"domain_scores_codex":[0.9999346,0.00001447143,0.000003464357,0.00001437962,0.00002801609,0.000005097892],"domain_scores_gemma":[0.9998473,0.00008556951,0.00001848293,0.00001408657,0.00002629749,0.00000816705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005021932,0.00002346967,0.005134267,0.0001333071,0.00003684486,0.0001140237,0.00005255397,0.5262168,0.001170085,0.02643052,0.0384745,0.4021634],"study_design_scores_gemma":[0.000006790905,0.0000434621,0.006944194,0.0001759715,0.00001975852,0.000156761,0.0001228779,0.8239805,0.001226154,0.09644399,0.07084947,0.00003008973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1273295,0.03342953,0.6018323,0.007278359,0.00249864,0.00006481363,0.006398612,0.002858775,0.2183095],"genre_scores_gemma":[0.8319471,0.02148951,0.05702527,0.0002267189,0.000842093,0.0000358874,0.003177708,0.0002661743,0.08498938],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004915592,"threshold_uncertainty_score":0.01644433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00944795865845527,"score_gpt":0.1962302688352304,"score_spread":0.1867823101767751,"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."}}