{"id":"W2983169309","doi":"","title":"Warm Homes, Greener Living: Reducing Energy Poverty in Daniel McIntyre and St. Matthews through Energy Retrofits","year":2012,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Fuel poverty; Energy (signal processing); Energy poverty; Economics; Economic growth; Physics; Medicine","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":[0.0003261598,0.0001713688,0.0001516697,0.0004011948,0.005313944,0.0009734459,0.0004745683,0.0003521288,0.002726265],"category_scores_gemma":[0.0004617991,0.0001310039,0.0001309688,0.0004312798,0.001019964,0.0004215492,0.001350278,0.000592938,0.0001271822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004196218,"about_ca_system_score_gemma":0.006196386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5055063,"about_ca_topic_score_gemma":0.8930328,"domain_scores_codex":[0.9998036,0.00004657786,0.000002769825,0.00001787676,0.00004316519,0.00008607106],"domain_scores_gemma":[0.999799,0.00001381039,0.00002476668,0.000003685397,0.00002840066,0.0001303871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000406308,0.001544586,0.2662982,0.0005991316,0.00007919756,0.006950728,0.2297142,0.0006808203,0.006007081,0.03011082,0.1443593,0.3132497],"study_design_scores_gemma":[0.00005271279,0.0004189087,0.3830102,0.0003149719,0.00004383743,0.001394063,0.3375551,0.0004101107,0.001613949,0.002974679,0.2721547,0.00005677478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659373,0.001684395,0.0001027583,0.01250428,0.00005664399,0.00003479447,0.00007951312,0.000009026311,0.01959127],"genre_scores_gemma":[0.9797239,0.001702601,0.0005051761,0.001587894,0.00002474025,0.00003102729,0.00004615105,0.000008131445,0.01637035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4944937,"threshold_uncertainty_score":0.9948118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009828967192837284,"score_gpt":0.1927222512607215,"score_spread":0.1828932840678842,"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."}}