{"id":"W4400953477","doi":"10.24419/lhi.2304-3083.2021.2.08","title":"Assessing the Possible Risks of Including the Reserved Forests in National Reporting under the UN Convention on Climate Change","year":2021,"lang":"ru","type":"article","venue":"Lesohozâjstvennaâ informaciâ","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Convention; Environmental resource management; Environmental science; Geography; Political science; Ecology; Law; Biology","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":[0.03583245,0.0005689033,0.0004354786,0.002657475,0.001164514,0.00508111,0.001585129,0.001750428,0.003249304],"category_scores_gemma":[0.09469526,0.000375174,0.001106065,0.004106905,0.001112984,0.003679925,0.002985377,0.001906793,0.0005002889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002351459,"about_ca_system_score_gemma":0.003321261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03076811,"about_ca_topic_score_gemma":0.04056877,"domain_scores_codex":[0.971185,0.01580438,0.00216399,0.001402849,0.007810551,0.001633177],"domain_scores_gemma":[0.8936287,0.05476853,0.03189576,0.005665436,0.01227178,0.001769694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007197774,0.0001968816,0.8180367,0.0005706931,0.0008222974,0.0009642544,0.002966227,0.03144302,0.0006787899,0.04133562,0.01158725,0.09067854],"study_design_scores_gemma":[0.0001279462,0.0007701586,0.7353446,0.002373611,0.00126936,0.001563671,0.01564449,0.1171559,0.005365262,0.06159163,0.0584537,0.0003396086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567919,0.003702385,0.02338081,0.01158121,0.0007813266,0.0007623447,0.0090663,0.0001871512,0.09374652],"genre_scores_gemma":[0.9868966,0.0008735637,0.00656167,0.0005306479,0.0001284508,0.0001643235,0.002110363,0.00002241997,0.002711977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03583245,"threshold_uncertainty_score":0.1895024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2548357404983867,"score_gpt":0.4298576326793973,"score_spread":0.1750218921810106,"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."}}