{"id":"W7132517215","doi":"","title":"System integration and grid simulation for ancillary services in V2X (Vehicle-to X: X=home, buildings and grid) applications","year":2018,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Resources Canada; Transport Canada","keywords":"Backup; Grid; Electricity; System integration; Renewable energy; Service (business); Energy storage; Energy management system; Energy consumption; Electric power system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0006141935,0.0007179962,0.000812616,0.0004078745,0.0006171348,0.0009640763,0.0009544179,0.0007155273,0.006635158],"category_scores_gemma":[0.0009718026,0.000321614,0.0007387548,0.0006477896,0.0003051944,0.0006667131,0.0007232205,0.001222415,0.0005669459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009018738,"about_ca_system_score_gemma":0.001274838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979539,"about_ca_topic_score_gemma":0.02825044,"domain_scores_codex":[0.9997303,0.0000909194,0.00001549085,0.00003314768,0.00008249791,0.0000476546],"domain_scores_gemma":[0.9994882,0.0002589803,0.00002803025,0.00004773352,0.000137005,0.00003997527],"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":[0.00007771661,0.00006853935,0.001960403,0.00005060227,0.00002529584,0.00007025671,0.00008255401,0.9874357,0.0007790698,0.002788589,0.001955341,0.004705828],"study_design_scores_gemma":[0.00001792674,0.00001928668,0.0003055419,0.000003491894,0.000003579031,0.00000411565,0.00002699798,0.9975951,0.0003463201,0.0005225514,0.001150685,0.000004317955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5357329,0.0003758231,0.3609558,0.001109422,0.0003996309,0.0007344242,0.007258225,0.0079129,0.08552084],"genre_scores_gemma":[0.9504002,0.0001329623,0.04147185,0.00009786594,0.0000185443,0.0003305181,0.002293962,0.000319659,0.004934449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03979539,"threshold_uncertainty_score":0.07912755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074310025525837,"score_gpt":0.2639092132817361,"score_spread":0.2531661130264777,"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."}}