{"id":"W2111825128","doi":"","title":"Nuclear Energy Consumption and Growth Nexus in G-6: Evidence from Bootstrap Rolling Window","year":2015,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Window (computing); Energy consumption; Consumption (sociology); Economics; Engineering; Computer science; Sociology; Embedded system; Electrical engineering","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":[0.006533057,0.0003921395,0.0007193253,0.001525425,0.000776945,0.001203364,0.001226119,0.0006941318,0.005194743],"category_scores_gemma":[0.03663062,0.0002629636,0.0009996046,0.002986782,0.001057114,0.001568601,0.001239829,0.00107628,0.0006759939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029931,"about_ca_system_score_gemma":0.0006721247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133525,"about_ca_topic_score_gemma":0.005336869,"domain_scores_codex":[0.996439,0.001976236,0.0001934766,0.0006069812,0.0004416489,0.0003426361],"domain_scores_gemma":[0.929616,0.05221001,0.01053359,0.00497107,0.001735992,0.0009334799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002783471,0.000762925,0.8738496,0.0001896761,0.001505534,0.001713704,0.001283422,0.01811238,0.0006948015,0.01821535,0.002337045,0.0785521],"study_design_scores_gemma":[0.0002283202,0.001240489,0.8388779,0.0001005911,0.001548592,0.0008421502,0.003052445,0.1066112,0.00309571,0.03711785,0.007180846,0.0001039232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884092,0.0008097494,0.007403759,0.0003436654,0.00003086708,0.00001835581,0.0003757612,0.00005858833,0.002549986],"genre_scores_gemma":[0.9980805,0.0002741455,0.0006779674,0.00003441322,0.0000235107,0.000008060311,0.0005631708,0.00001354312,0.0003246709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01133525,"threshold_uncertainty_score":0.03455055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810455620663308,"score_gpt":0.1930558297253593,"score_spread":0.1349512735187263,"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."}}