{"id":"W4298140811","doi":"10.1038/s41598-022-20432-z","title":"Influence of green technology, green energy consumption, energy efficiency, trade, economic development and FDI on climate change in South Asia","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Office for Philosophy and Social Sciences","keywords":"Greenhouse gas; Energy consumption; Economics; Climate change; Natural resource economics; Efficient energy use; Sustainable development; Green growth; Energy security; Foreign direct investment; Environmental economics; Environmental science; Renewable energy; Ecology; Macroeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001540442,0.0002361768,0.0004875404,0.00129269,0.000332341,0.00004920038,0.0003371853,0.0001096736,0.0001888473],"category_scores_gemma":[0.00002000209,0.0003040579,0.00006471161,0.0003913644,0.0004198764,0.0002147831,0.0004250105,0.0001514095,0.00002780862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602887,"about_ca_system_score_gemma":0.00005943296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000977558,"about_ca_topic_score_gemma":0.000486617,"domain_scores_codex":[0.9967477,0.00002996002,0.001371289,0.001265567,0.00009227012,0.0004932542],"domain_scores_gemma":[0.9979018,0.00002467557,0.001177432,0.0007894141,0.000007091751,0.00009958143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002423296,0.0002567046,0.7620553,0.00005473908,0.00004469794,0.0001130746,0.002004221,0.01114589,0.0003304394,0.218755,0.0001110195,0.005104684],"study_design_scores_gemma":[0.001737882,0.0003366231,0.7236376,0.0001036315,0.00002070732,0.0003105831,0.0005612249,0.005163772,0.01375141,0.07239766,0.1801208,0.001858091],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968523,0.0007819255,0.00002793093,0.000313813,0.0007101567,0.0001665033,0.00006902085,0.00004021878,0.001038069],"genre_scores_gemma":[0.9989553,0.00007280517,0.0001187154,0.0001272877,0.00002103799,0.000236497,0.00004350384,0.00003032375,0.0003945347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1800098,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093247639988638,"score_gpt":0.2028345743425418,"score_spread":0.1819020979426554,"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."}}