{"id":"W7093295759","doi":"10.26180/30412627","title":"Modelling Residential Electricity Consumption in India: Theory, Indicators and Bottom-Up Estimation","year":2025,"lang":"","type":"dissertation","venue":"Open MIND","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Consumption (sociology); Quarter (Canadian coin); Estimation; Sustainability; Electricity demand","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001146114,0.0005740115,0.0005384453,0.0008978855,0.0003079746,0.002059302,0.001404034,0.0005653889,0.001137212],"category_scores_gemma":[0.00374481,0.0004650548,0.000959772,0.001817787,0.0007387731,0.001205078,0.001434657,0.00130988,0.0003113799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388336,"about_ca_system_score_gemma":0.001285278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05271867,"about_ca_topic_score_gemma":0.03240116,"domain_scores_codex":[0.9994042,0.0002561225,0.00003021085,0.0001027769,0.0001175439,0.00008902838],"domain_scores_gemma":[0.9986003,0.001006534,0.0001015106,0.00009925217,0.0001583579,0.00003406559],"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":[0.0000249491,0.0000499127,0.01552095,0.00009546328,0.00006131363,0.0000602586,0.0001714528,0.9320033,0.0002011417,0.02755292,0.001355621,0.02290276],"study_design_scores_gemma":[0.000002256826,0.00002075859,0.006051518,0.00002446198,0.00002431,0.00001169542,0.0001340442,0.979005,0.0002782191,0.01338821,0.001043206,0.00001640287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4138835,0.001478795,0.5482922,0.002285166,0.0001071696,0.0001570315,0.002852888,0.000944509,0.02999878],"genre_scores_gemma":[0.9488782,0.0007745806,0.04627226,0.00007016593,0.00002617021,0.0001031185,0.001399177,0.00005250777,0.002423778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05271867,"threshold_uncertainty_score":0.1048236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906968820975057,"score_gpt":0.2902244485538694,"score_spread":0.2711547603441188,"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."}}