{"id":"W4311092030","doi":"10.1016/j.ecolecon.2022.107686","title":"Social outcomes of energy use in the United Kingdom: Household energy footprints and their links to well-being","year":2022,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Engineering and Physical Sciences Research Council; Leverhulme Trust","keywords":"Overconsumption; Energy poverty; Energy (signal processing); Context (archaeology); Footprint; Economics; Poverty; Ecological footprint; Public economics; Inequality; Natural resource economics; Energy consumption; Distribution (mathematics); Environmental economics; Demographic economics; Economic growth; Sustainability; Geography; Microeconomics; Ecology; Production (economics)","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":[],"consensus_categories":[],"category_scores_codex":[0.000328451,0.0001330247,0.0002027741,0.00005586103,0.0002222721,0.00002429973,0.0003231551,0.0001036259,0.0005755107],"category_scores_gemma":[0.0000312318,0.00009553949,0.00005532563,0.0001401204,0.0001259181,0.00008265979,0.000662579,0.0001976614,0.000004735168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843143,"about_ca_system_score_gemma":0.000004317552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065333,"about_ca_topic_score_gemma":0.000963931,"domain_scores_codex":[0.9990382,0.0001548683,0.0002366782,0.000247154,0.00006481932,0.0002583113],"domain_scores_gemma":[0.9993786,0.0003085469,0.00008601157,0.0001614128,7.107959e-7,0.00006476304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000576172,0.0003981421,0.4628288,0.00000121489,0.00002730673,0.00001062003,0.0008867746,0.4851494,0.0001957843,0.04798891,0.0005393122,0.00191618],"study_design_scores_gemma":[0.0002836385,0.0001476606,0.9201161,5.959128e-7,0.000004486463,0.000003818852,0.00018012,0.0007104892,0.0001742759,0.004672736,0.07354952,0.0001565647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956537,0.000001649627,0.00003742358,0.001161518,0.00005359091,0.00005072742,0.000006057444,0.00001222934,0.003023095],"genre_scores_gemma":[0.9921337,0.00002745931,0.00006834544,0.007527331,0.00001742051,0.00003532509,0.000009225389,0.00001026733,0.0001708736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4844389,"threshold_uncertainty_score":0.6301438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04548361598657195,"score_gpt":0.2227477071255109,"score_spread":0.1772640911389389,"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."}}