{"id":"W2588580214","doi":"","title":"Biofuels Markets and Policies in Ukraine","year":2017,"lang":"en","type":"preprint","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grantová Agentura České Republiky; European Commission; McGill University","keywords":"Biofuel; Business; Energy security; Production (economics); Fossil fuel; Natural resource economics; Legislature; Raw material; Energy policy; International trade; Economics; Economic policy; Agricultural economics; Renewable energy; Engineering; Waste management; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001210607,0.0007716311,0.0009717132,0.0002294738,0.0007702943,0.0007025212,0.001308832,0.001196282,0.00009634818],"category_scores_gemma":[0.0009661404,0.0003813755,0.0003708838,0.0004991303,0.00006017914,0.0003165014,0.001612724,0.001295575,0.000007391107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004342993,"about_ca_system_score_gemma":0.0001618692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003362477,"about_ca_topic_score_gemma":0.003779371,"domain_scores_codex":[0.9955828,0.0005967717,0.0008787641,0.001286657,0.0007580873,0.0008969236],"domain_scores_gemma":[0.997438,0.0004457304,0.0007916311,0.0004762232,0.000347189,0.0005011972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001712259,0.0036424,0.05329311,0.001340232,0.001753072,0.001922577,0.006924279,0.0001469635,0.09130047,0.6728848,0.009205788,0.1558741],"study_design_scores_gemma":[0.0004439999,0.00004828272,0.2711349,0.0003298539,0.00009684882,0.0003070509,0.000206935,0.0001918862,0.0002224213,0.001450699,0.7248037,0.0007634512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8617728,0.002246058,0.00002045885,0.054502,0.000617676,0.0008630117,0.0002431165,0.000319069,0.07941581],"genre_scores_gemma":[0.9952416,0.001387091,0.0004893917,0.0002224166,0.001175919,0.0002228705,0.0006679938,0.000009805967,0.0005828745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7155979,"threshold_uncertainty_score":0.9998638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200998238660033,"score_gpt":0.2421229358533072,"score_spread":0.2201129534667069,"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."}}