{"id":"W4406095346","doi":"10.1007/s43937-025-00064-w","title":"Evaluating renewable energy adoption in G7 countries: a TOPSIS-based multi-criteria decision analysis","year":2025,"lang":"en","type":"article","venue":"Discover Energy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Per capita; TOPSIS; Natural resource economics; Fossil fuel; Gross domestic product; Economics; Global warming; Sustainability; Ranking (information retrieval); Environmental economics; Population; Climate change; Economic growth; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006259792,0.001758386,0.001727331,0.005794945,0.001108428,0.003832999,0.001100848,0.001154977,0.00345837],"category_scores_gemma":[0.00721697,0.0006732634,0.003573659,0.005027789,0.0007250724,0.001090105,0.001579738,0.001208074,0.0002943175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002713744,"about_ca_system_score_gemma":0.003124767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554773,"about_ca_topic_score_gemma":0.01079791,"domain_scores_codex":[0.9951335,0.002899951,0.0004129414,0.0002788084,0.0008942002,0.0003805328],"domain_scores_gemma":[0.9959856,0.002616137,0.0002831217,0.00006474668,0.0008662738,0.0001840366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001007445,0.0009231074,0.03591087,0.001846802,0.001948877,0.001102204,0.001624961,0.8397374,0.004242274,0.004936855,0.002185336,0.1045339],"study_design_scores_gemma":[0.0000701871,0.0009355015,0.00858372,0.0001462962,0.000288967,0.00005584949,0.002878123,0.9822611,0.001236456,0.002628213,0.0008353702,0.00008031351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8684572,0.0006127208,0.1205235,0.0004833406,0.00007088498,0.001366419,0.0008681589,0.0002081576,0.007409656],"genre_scores_gemma":[0.9424335,0.0004219969,0.05498286,0.00004225355,0.00001232263,0.000552904,0.0007961088,0.00001272877,0.0007453153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554773,"threshold_uncertainty_score":0.03310531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227462368129615,"score_gpt":0.2851577972525248,"score_spread":0.2528831735712287,"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."}}