{"id":"W4408256139","doi":"10.5267/j.dsl.2025.2.002","title":"Multi-criteria analysis of renewable energy alternatives in southwest Sumba using TOPSIS method with 5C framework","year":2025,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Socio-economic Development and Sustainability","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Renewable energy; Computer science; Energy (signal processing); Environmental economics; Operations research; Mathematical optimization; Engineering; Mathematics; Statistics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289613,0.0001401052,0.0005773432,0.002137489,0.0001413045,0.0001361914,0.0005801177,0.00006591464,0.0001178012],"category_scores_gemma":[0.0005958393,0.0001391613,0.0001165888,0.004253415,0.0003303911,0.000421945,0.0001541793,0.00008967591,0.000002728686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121072,"about_ca_system_score_gemma":0.00009069361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006873908,"about_ca_topic_score_gemma":0.0005640214,"domain_scores_codex":[0.9981186,0.00003484009,0.0007232974,0.0006949618,0.00009543493,0.0003328355],"domain_scores_gemma":[0.9986777,0.0004349235,0.0002939796,0.0004702919,0.00006646454,0.00005663232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003126431,0.00005305416,0.9668876,0.000005605187,0.0001016232,0.000003598882,0.001613407,0.02645018,0.0005474936,0.00261193,0.00004675769,0.001647501],"study_design_scores_gemma":[0.000547639,0.00001283269,0.869836,0.00005030325,0.00003548051,3.643315e-7,0.00144901,0.1109342,0.0008342017,0.01524375,0.0007697233,0.000286503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5637266,0.00004791278,0.4354294,0.0003714148,0.0001542352,0.00004938818,0.00001016588,0.000005770603,0.00020505],"genre_scores_gemma":[0.7809352,0.00001050502,0.2181133,0.0008239578,0.000007193016,0.000007766942,0.000001972794,0.000005045355,0.00009508958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2173162,"threshold_uncertainty_score":0.9997394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04205631817689029,"score_gpt":0.3377752037816993,"score_spread":0.2957188856048091,"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."}}