{"id":"W4411465572","doi":"10.1016/j.renene.2025.123816","title":"Enhancing industrial load hosting capacity in rural areas of developing countries through distributed energy resource integration","year":2025,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Universidade Federal de Itajubá; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Energia Elétrica; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Resource (disambiguation); Business; Distributed generation; Developing country; Environmental economics; Natural resource economics; Industrial organization; Computer science; Economic growth; Renewable energy; Economics; Engineering; Electrical engineering; Computer network","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":[0.0002488842,0.0002172671,0.0001441559,0.0003620404,0.0003565673,0.0007996948,0.0003750043,0.00015836,0.004379525],"category_scores_gemma":[0.0004493289,0.00009415846,0.000125938,0.00063413,0.0002360586,0.0006613201,0.0009451222,0.0001677018,0.0004424875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004630501,"about_ca_system_score_gemma":0.0006431469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003289452,"about_ca_topic_score_gemma":0.008577708,"domain_scores_codex":[0.9998908,0.00003438022,0.000003526337,0.00001140611,0.00001512768,0.00004471361],"domain_scores_gemma":[0.9998131,0.0000485211,0.00002512023,0.00001895636,0.00005618228,0.00003807967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008616323,0.0018975,0.1787517,0.0004596924,0.000111255,0.001099469,0.001961535,0.2041701,0.08946133,0.02174758,0.006919889,0.4925583],"study_design_scores_gemma":[0.0003706694,0.002157638,0.331626,0.0002004748,0.000328177,0.0006499683,0.02100138,0.4939715,0.05796741,0.02344213,0.06817243,0.0001122832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671735,0.00009816473,0.009066126,0.0002213457,0.0000121598,0.00005286719,0.00009922776,0.0001512717,0.02312537],"genre_scores_gemma":[0.9972512,0.00005041744,0.001394675,0.00001022253,0.000003466606,0.000009170426,0.00003463699,0.000006096012,0.001240002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004379525,"threshold_uncertainty_score":0.01465094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013928707523556,"score_gpt":0.2173832525737888,"score_spread":0.1972439654985532,"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."}}