{"id":"W4213439732","doi":"10.1049/rpg2.12376","title":"Optimal battery cycling strategies in workplaces with electric vehicle chargers, energy storage systems and renewable energy generation","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Saint Mary's University","funders":"","keywords":"Cycling; Automotive engineering; Renewable energy; Battery (electricity); Energy storage; Electric vehicle; Computer science; Electrical engineering; Environmental science; Engineering; Physics; Power (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003052853,0.0003109056,0.0003089694,0.0005649849,0.0003496494,0.0003278768,0.0002422294,0.0001385106,0.000061119],"category_scores_gemma":[0.00001280632,0.0003279899,0.00002863065,0.0009333922,0.00004311361,0.0007533544,0.00009222756,0.0002707233,0.000001158831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004118783,"about_ca_system_score_gemma":0.0001152178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116903,"about_ca_topic_score_gemma":0.00206417,"domain_scores_codex":[0.9978291,0.0001535366,0.0003977942,0.0005358284,0.0004690859,0.0006146455],"domain_scores_gemma":[0.9993351,0.00005093746,0.0000895903,0.0003888477,0.00005971748,0.00007577802],"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":[0.00002168451,0.00002094393,0.0001555172,0.00001204052,0.00002064325,0.00002200705,0.00006974243,0.6321669,0.3646583,0.0001392762,0.002414553,0.0002984197],"study_design_scores_gemma":[0.0004612139,0.0002385247,0.00003247912,0.00001631435,0.000007667383,0.0000332701,0.000690022,0.863022,0.1300029,0.00004701847,0.005062136,0.0003864821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7655047,0.005536935,0.2270314,0.0001022794,0.0004872463,0.0002179624,0.00001606783,0.000448804,0.0006546447],"genre_scores_gemma":[0.9962816,0.0007183946,0.001125347,0.00005100466,0.0002016851,0.0005124178,0.0001865913,0.00008188692,0.0008410266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2346554,"threshold_uncertainty_score":0.9999172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270463882246708,"score_gpt":0.2196772970978245,"score_spread":0.2069726582753574,"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."}}