{"id":"W4412715875","doi":"10.1002/9781394265749.ch14","title":"The Role of Artificial Intelligence in Advancing Energy Justice and Equity","year":2025,"lang":"en","type":"other","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Equity (law); Economic Justice; Artificial intelligence; Computer science; Psychology; Political science; Law","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":[0.01142275,0.0006824122,0.0006027622,0.001822411,0.004141375,0.0143024,0.001595064,0.004385888,0.006492774],"category_scores_gemma":[0.01341358,0.0002903368,0.0006805654,0.001761355,0.02010608,0.01088053,0.007334566,0.006004836,0.0008853007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006315687,"about_ca_system_score_gemma":0.007804501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003866066,"about_ca_topic_score_gemma":0.005795228,"domain_scores_codex":[0.9896781,0.005972232,0.0003560084,0.0006320901,0.002460848,0.0009007065],"domain_scores_gemma":[0.989468,0.007640818,0.0005114906,0.0009677676,0.001002798,0.0004090627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000570919,0.00001507442,0.0002568423,0.00007691018,0.000007311831,0.00003511587,0.0007340932,0.001748787,0.000107872,0.9724883,0.002238207,0.02228584],"study_design_scores_gemma":[0.000004417291,0.00001709084,0.0003525597,0.0004213493,0.000007383177,0.00005305606,0.001399999,0.002816212,0.000468511,0.8802314,0.1142114,0.00001661971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01492664,0.0169093,0.1421158,0.1058058,0.001354283,0.0001828894,0.00007953626,0.0002149979,0.7184107],"genre_scores_gemma":[0.8251235,0.02482891,0.08929786,0.01627896,0.001353912,0.0003450947,0.0001066341,0.0002542946,0.04241076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0143024,"threshold_uncertainty_score":0.06041002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050780613919898,"score_gpt":0.2667573274046889,"score_spread":0.2562495212654899,"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."}}