{"id":"W4400677201","doi":"10.2139/ssrn.4896856","title":"A Clean and Affordable Energy Transition: Addressing Energy Poverty and Inequity in Electricity Decarbonization in Canada","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Victoria; Carleton University; Royal Roads University","funders":"","keywords":"Clean energy; Energy poverty; Electricity; Poverty; Energy transition; Fuel poverty; Energy (signal processing); Natural resource economics; Business; Economics; Environmental science; Economic growth; Engineering; Physics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008065773,0.0001723034,0.0003639596,0.0006869628,0.005535763,0.003844974,0.0008887614,0.001287586,0.00730892],"category_scores_gemma":[0.003228718,0.0001464927,0.0004588558,0.002145418,0.001470893,0.001152448,0.002024935,0.001728429,0.0001490525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08025078,"about_ca_system_score_gemma":0.1800935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981007,"about_ca_topic_score_gemma":0.9989052,"domain_scores_codex":[0.9987202,0.0001155436,0.00002071264,0.00007195801,0.0002758038,0.0007958106],"domain_scores_gemma":[0.9987382,0.0001878827,0.00006617991,0.00003062745,0.0005082192,0.0004688526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004466886,0.0004701287,0.211386,0.0005082911,0.000247904,0.00112088,0.01550573,0.02430571,0.0009568912,0.4733603,0.1244823,0.1472091],"study_design_scores_gemma":[0.0001478996,0.0001272025,0.51837,0.0006695996,0.0003672651,0.0002113623,0.09635713,0.03595902,0.002275715,0.08394156,0.2613486,0.0002246769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302066,0.003009139,0.001408065,0.0735378,0.0002145479,0.00008930068,0.002062269,0.00004970179,0.08942268],"genre_scores_gemma":[0.9787052,0.001058423,0.000693835,0.001451145,0.0000197631,0.0000166276,0.0002540609,0.00001996563,0.01778112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08025078,"threshold_uncertainty_score":0.5822629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006706361568691409,"score_gpt":0.194992315407388,"score_spread":0.1882859538386966,"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."}}