{"id":"W2228228559","doi":"10.1504/ijpse.2015.071429","title":"Incentives for the reuse of electric vehicle batteries for load-shifting in residences","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Incentive; Reuse; Electricity; Environmental economics; Battery (electricity); Electric vehicle; Smart grid; Load shifting; Demand response; Government (linguistics); Load profile; Automotive engineering; Engineering; Business; Computer science; Electrical engineering; Economics; Power (physics); Microeconomics; Waste management","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":[0.001506229,0.0002930343,0.0004277436,0.0003456983,0.0005167511,0.001100947,0.001018257,0.0009529191,0.005460795],"category_scores_gemma":[0.005164756,0.0003429125,0.0004725667,0.000440559,0.0005639263,0.001298547,0.0007468961,0.0006149905,0.0002468313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635894,"about_ca_system_score_gemma":0.001518364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006067041,"about_ca_topic_score_gemma":0.01006002,"domain_scores_codex":[0.9991338,0.0004923553,0.00002807638,0.00006181838,0.000138284,0.0001457227],"domain_scores_gemma":[0.9974781,0.001737315,0.0003535233,0.00008709139,0.0002163006,0.0001277319],"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":[0.0004751251,0.0003723317,0.005489644,0.0001278952,0.00003008359,0.0004184117,0.0002086406,0.9412774,0.004525436,0.03209998,0.001213568,0.0137614],"study_design_scores_gemma":[0.000107794,0.0003464294,0.0031609,0.00003119991,0.00003123331,0.00007887599,0.0005753762,0.9829223,0.002272828,0.007509741,0.00293227,0.00003111237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886446,0.0001533298,0.08409242,0.001089616,0.00005195111,0.0002279823,0.0002590911,0.000154229,0.02532675],"genre_scores_gemma":[0.9919159,0.00004215661,0.006060253,0.00002194687,0.000002477195,0.00004474779,0.00001854365,0.000006380376,0.001887521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006067041,"threshold_uncertainty_score":0.01826817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368989921763976,"score_gpt":0.2527420648124472,"score_spread":0.2390521655948074,"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."}}