{"id":"W4407582012","doi":"10.5539/jms.v15n1p79","title":"The Electric Matrix of the State of São Paulo Toward the Just Energy Transition: Comparative Analysis of Strategies Based on the Experience of the 2014–2015 and 2021 Water Crises","year":2025,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Transition (genetics); Energy (signal processing); Matrix (chemical analysis); Political science; Chemistry; Computer science; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009695714,0.000107181,0.0001465816,0.0012108,0.001374892,0.002069271,0.0002696963,0.0004264637,0.001732855],"category_scores_gemma":[0.00292478,0.0001162506,0.00016721,0.001679902,0.002351625,0.001455939,0.001943321,0.0003938634,0.0000606956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003865093,"about_ca_system_score_gemma":0.002473243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05054737,"about_ca_topic_score_gemma":0.1313213,"domain_scores_codex":[0.999471,0.0002006204,0.00001901932,0.0000438639,0.0001052246,0.0001602007],"domain_scores_gemma":[0.9991825,0.0003469754,0.0001860145,0.00003741963,0.0001303453,0.0001166658],"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":[0.0003700247,0.0002113202,0.2874386,0.0005695932,0.0002064939,0.002702152,0.2429603,0.01403749,0.008377781,0.3203061,0.003794768,0.1190255],"study_design_scores_gemma":[0.00002588226,0.0003358867,0.5245086,0.0003442162,0.00008133149,0.0005130168,0.3780017,0.006654449,0.00186242,0.02181201,0.06578542,0.00007499794],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796737,0.000279463,0.0005022071,0.001090601,0.000006561213,0.00002127946,0.00006713148,0.000004989899,0.01835418],"genre_scores_gemma":[0.999519,0.0001054126,0.00006089471,0.00002160092,7.859653e-7,0.000003491765,0.00001625231,0.000001219382,0.0002713579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05054737,"threshold_uncertainty_score":0.1005063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105558713978926,"score_gpt":0.2639019872471471,"score_spread":0.2528464001073578,"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."}}