{"id":"W4381572498","doi":"10.18288/1994-5124-2022-5-54-77","title":"Cross-Border Carbon Regulation and Forests in Russia: From Expectations and Myth to Realization of Interests","year":2022,"lang":"en","type":"article","venue":"Economic Policy","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reforestation; Additionality; Carbon sequestration; Natural resource economics; Business; Carbon offset; Forest management; Carbon neutrality; Forestry; Economics; Climate change; Geography; Greenhouse gas; Environmental economics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003860478,0.0001501044,0.0003489569,0.0005007011,0.002910999,0.009556822,0.0007198451,0.0026804,0.001657245],"category_scores_gemma":[0.003619425,0.0001677287,0.0002700182,0.000560966,0.007613868,0.00555733,0.003612641,0.004504068,0.0003067732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004848293,"about_ca_system_score_gemma":0.005061156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008888864,"about_ca_topic_score_gemma":0.006298691,"domain_scores_codex":[0.9978659,0.0008083988,0.0001001095,0.0002627356,0.0005343175,0.0004285846],"domain_scores_gemma":[0.998316,0.0007367571,0.0002311445,0.0001238537,0.0002635274,0.0003287147],"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":[0.00003996378,0.00002585369,0.003775628,0.00009079295,0.00001108476,0.0002442677,0.004667561,0.0009618421,0.0003501632,0.9584255,0.006212214,0.02519505],"study_design_scores_gemma":[0.00001373414,0.00008140939,0.01569115,0.001180805,0.00002001836,0.0005330434,0.01941317,0.002213363,0.001013362,0.6830652,0.2766945,0.00008019076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2836777,0.07195457,0.009155422,0.2988775,0.001852719,0.00002054344,0.0001864388,0.00009108488,0.334184],"genre_scores_gemma":[0.9791567,0.008865338,0.0007826741,0.005621129,0.0002410434,0.00001200962,0.00004705209,0.00001867777,0.005255349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009556822,"threshold_uncertainty_score":0.03517693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156511156309184,"score_gpt":0.3833024355115132,"score_spread":0.3676513198805948,"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."}}