{"id":"W3121729244","doi":"","title":"Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Developing country; Economics; Energy (signal processing); Natural resource economics; Economic growth; Engineering; Physics","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":[0.002097795,0.0007517618,0.0007897993,0.001256984,0.0004834651,0.002433065,0.0006930831,0.001445134,0.004609953],"category_scores_gemma":[0.006441214,0.0008776217,0.001226625,0.002110881,0.0006063623,0.001597735,0.001449743,0.001576715,0.000550998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305888,"about_ca_system_score_gemma":0.00179321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0493395,"about_ca_topic_score_gemma":0.04432687,"domain_scores_codex":[0.9991381,0.00050183,0.0000383862,0.0001421068,0.00004569634,0.0001337982],"domain_scores_gemma":[0.9952298,0.003759489,0.0005753236,0.0001450909,0.0001675458,0.0001228251],"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":[0.0001855623,0.0002473311,0.1452881,0.0001449811,0.0006737906,0.0003906584,0.0003511242,0.7996326,0.0003661862,0.03786502,0.001704176,0.01315047],"study_design_scores_gemma":[0.0001767771,0.0001590188,0.03438567,0.00009337781,0.0005057001,0.00007580551,0.0006796935,0.907649,0.0004268172,0.04969282,0.006074165,0.00008111915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322689,0.001840651,0.04922701,0.002756238,0.0001061505,0.00008421366,0.004616192,0.0002325566,0.008868094],"genre_scores_gemma":[0.9871322,0.001529112,0.005483449,0.000107078,0.00003274583,0.0001016458,0.002032891,0.00001940089,0.003561438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0493395,"threshold_uncertainty_score":0.09810466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242777824016249,"score_gpt":0.264753002189376,"score_spread":0.2123252239492135,"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."}}