{"id":"W4387826465","doi":"10.1016/j.wds.2023.100109","title":"Energy Poverty and Alcohol Consumption","year":2023,"lang":"en","type":"article","venue":"World Development Sustainability","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Alcohol consumption; Poverty; Alcohol; Energy consumption; Consumption (sociology); Energy (signal processing); Energy poverty; Panel data; Fuel poverty; Unit of alcohol; Economics; Environmental health; Econometrics; Demographic economics; Statistics; Medicine; Economic growth; Mathematics; Sociology; Engineering; Chemistry; Social science","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":[0.0006368452,0.0001009925,0.0002196282,0.0008554792,0.0003291602,0.0006751495,0.0001812658,0.0003385076,0.005819432],"category_scores_gemma":[0.004604713,0.0001319181,0.0003965175,0.001537553,0.0004423441,0.0007133677,0.001034584,0.0006009142,0.0003680624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006619431,"about_ca_system_score_gemma":0.0004420101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409697,"about_ca_topic_score_gemma":0.02560103,"domain_scores_codex":[0.9994006,0.0002329844,0.00003466044,0.00005780645,0.000140263,0.0001337453],"domain_scores_gemma":[0.9965798,0.00110177,0.001415482,0.0001472236,0.0003751137,0.0003805925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005663675,0.00006696532,0.9826617,0.00008879649,0.0001979705,0.00009145272,0.0003758863,0.0008204519,0.00009205597,0.002555359,0.0007438164,0.01224882],"study_design_scores_gemma":[9.602823e-7,0.00002302448,0.9953403,0.00004448237,0.00001964035,0.00005004932,0.0003060859,0.0004181257,0.00004087646,0.001311013,0.002440419,0.000004871728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792618,0.003613632,0.0005236241,0.00162986,0.00002343116,0.00001718753,0.001507544,0.000006237695,0.01341661],"genre_scores_gemma":[0.997106,0.001000313,0.0001346679,0.00008238083,0.00001447946,0.000008646328,0.0003078443,0.000002459714,0.001343129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02409697,"threshold_uncertainty_score":0.04791343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537033273290929,"score_gpt":0.2452989451012451,"score_spread":0.2299286123683358,"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."}}