{"id":"W3124410723","doi":"10.20914/2310-1202-2020-4-366-370","title":"Trends and prospects for the development of renewable energy sources in the european union","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Voronezh State University of Engineering Technologies","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Subsidy; European union; Pellets; Electricity; Agricultural economics; Natural resource economics; Business; Competition (biology); Coal; Electricity generation; Energy policy; Environmental science; Economics; International trade; Waste management; Engineering; Power (physics); Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002136631,0.00008397553,0.0001192325,0.0001011622,0.00005763427,0.000007947252,0.00039396,0.00003769862,5.499064e-7],"category_scores_gemma":[0.0000348193,0.00005497047,0.00003297873,0.0004289109,0.00006895077,0.00006054217,0.0001459313,0.00009069405,1.188495e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002237153,"about_ca_system_score_gemma":0.000008976377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000314236,"about_ca_topic_score_gemma":0.00004858369,"domain_scores_codex":[0.9995955,0.000003200042,0.000115467,0.00008188551,0.00008201072,0.0001219849],"domain_scores_gemma":[0.9997487,0.00004174791,0.00006117865,0.0000871297,0.00005557577,0.00000565227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003578583,0.00007206295,0.007050447,0.001666362,0.0004020174,0.000003028168,0.01453428,0.2314314,0.4145512,0.007943808,0.001886642,0.320423],"study_design_scores_gemma":[0.0006927635,0.00009188551,0.05324215,0.0003212664,0.00006246973,0.00001027011,0.01360453,0.0310663,0.8829286,0.00171804,0.01597709,0.0002846159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915304,0.001372945,0.00547027,0.0004790667,0.00003435583,0.0001018043,0.000006896147,0.0001706294,0.000833632],"genre_scores_gemma":[0.9934029,0.0002951304,0.006212627,8.699923e-7,0.000002979306,5.974088e-7,5.362306e-7,0.00000840827,0.00007596896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4683774,"threshold_uncertainty_score":0.2241631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004479866578695529,"score_gpt":0.1476593803745495,"score_spread":0.1431795137958539,"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."}}