{"id":"W2604060092","doi":"","title":"Quantification of Biofuels Potential of Post-Soviet Countries in the Context of Global Biofuels Development","year":2017,"lang":"en","type":"preprint","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grantová Agentura České Republiky; European Commission; McGill University","keywords":"Biofuel; Context (archaeology); Russian federation; Business; World market; Natural resource economics; Agricultural economics; Economics; International trade; Geography; Economic policy; Biotechnology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000572692,0.0001741887,0.0002219981,0.001985643,0.0003886051,0.001411493,0.0001630376,0.00025,0.001872018],"category_scores_gemma":[0.0008597136,0.00008310007,0.0002690007,0.002198671,0.0003470913,0.001164498,0.00080927,0.0002367901,0.000163513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909238,"about_ca_system_score_gemma":0.0005335459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003317558,"about_ca_topic_score_gemma":0.003379616,"domain_scores_codex":[0.9997877,0.00004329248,0.00001323482,0.00003577828,0.00004994289,0.00007005763],"domain_scores_gemma":[0.9995726,0.0001250869,0.0001591525,0.00002083084,0.00008775022,0.0000345888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004408722,0.0001069853,0.8034075,0.0004110071,0.0002760137,0.0009627726,0.003428852,0.02096597,0.01165722,0.07199016,0.00132699,0.08502565],"study_design_scores_gemma":[0.000007925651,0.000210573,0.9439889,0.0001219296,0.0001036439,0.0004335719,0.009443894,0.007698273,0.004301945,0.01397742,0.01968457,0.00002736688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882641,0.001017915,0.0009209749,0.0001070162,0.00000506849,0.00000742637,0.0006364494,0.000006640381,0.009034437],"genre_scores_gemma":[0.998071,0.0005188187,0.0003141769,0.000007416286,0.000004623556,0.000006274588,0.0003354702,0.000002746435,0.0007394573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003317558,"threshold_uncertainty_score":0.006596506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081828472115056,"score_gpt":0.2901608885025397,"score_spread":0.2593426037813891,"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."}}