{"id":"W4379184407","doi":"10.17975/sfj-2023-004","title":"Analyzing global renewable energy generation trends amid volatile economic and social environments","year":2023,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Granger causality; Gross domestic product; Sustainable development; Environmental economics; Natural resource economics; Low-carbon economy; Global warming; Economics; Climate change; Economy; Economic growth; Engineering; Political science; Ecology; Econometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005438137,0.0001566958,0.0001647045,0.001501326,0.0002027765,0.0009230574,0.0001394401,0.0002754046,0.001008934],"category_scores_gemma":[0.002031032,0.00006970147,0.0001932919,0.003385397,0.0002491986,0.001015346,0.0006011076,0.0003600671,0.0001765508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004161433,"about_ca_system_score_gemma":0.0003218637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004698629,"about_ca_topic_score_gemma":0.01097516,"domain_scores_codex":[0.9997759,0.00006306649,0.00001628617,0.00004264636,0.00006444519,0.00003755565],"domain_scores_gemma":[0.9990507,0.0003750282,0.000298057,0.00006920306,0.0001622965,0.00004470886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004868843,0.00005544814,0.9504376,0.00006623628,0.00008933524,0.0003113688,0.001371003,0.007480612,0.0009870171,0.006200628,0.001020397,0.03193156],"study_design_scores_gemma":[0.000002696219,0.00006466201,0.9697287,0.00002799007,0.00002653012,0.0001415875,0.007065671,0.01345848,0.0006929124,0.003250423,0.005523403,0.00001701475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940612,0.0001159004,0.0007644617,0.0002185847,0.000008617089,0.00001057286,0.0008631689,0.000009632007,0.003947863],"genre_scores_gemma":[0.9986161,0.000148794,0.0003048217,0.00002007222,0.000008644735,0.000006836293,0.0006307749,0.000003283331,0.0002606294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004698629,"threshold_uncertainty_score":0.009342551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166119328231079,"score_gpt":0.2853754972594516,"score_spread":0.2537143039771408,"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."}}