{"id":"W4400558524","doi":"10.15372/sjfs20240211","title":"ЛЕС В СРАВНИТЕЛЬНОМ ПРАВЕ: ГЕРМАНИЯ, КИТАЙСКАЯ НАРОДНАЯ РЕСПУБЛИКА, КАНАДА, НИГЕРИЯ, ТУРЦИЯ","year":2024,"lang":"en","type":"article","venue":"Сибирский лесной журнал","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001243015,0.0002509642,0.0001959762,0.001933583,0.002883874,0.006153193,0.0003898307,0.001067853,0.01011906],"category_scores_gemma":[0.003284725,0.0003412895,0.0002738806,0.002128997,0.003882401,0.002251849,0.001363694,0.001448565,0.002250154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078602,"about_ca_system_score_gemma":0.004234651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008316879,"about_ca_topic_score_gemma":0.01155656,"domain_scores_codex":[0.9983999,0.0003365527,0.00008253133,0.0002471723,0.0007617183,0.0001721431],"domain_scores_gemma":[0.9984388,0.0004716553,0.0003095808,0.0001586902,0.0004581819,0.0001630622],"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":[0.0000415925,0.00005473668,0.005811983,0.0002258955,0.00001949457,0.0009138985,0.00750223,0.000576365,0.003058549,0.856263,0.006985326,0.1185469],"study_design_scores_gemma":[0.00002268484,0.0000533848,0.01539042,0.0004473923,0.00005475439,0.001494876,0.006224489,0.0008445841,0.003037694,0.2198311,0.752525,0.00007371298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1463274,0.02520661,0.04046261,0.01229723,0.0009803339,0.000243969,0.0006526783,0.0001776907,0.7736514],"genre_scores_gemma":[0.9185113,0.008801294,0.02357129,0.0003833588,0.0003012521,0.0001422496,0.0001749132,0.00005761418,0.04805679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9916831,"threshold_uncertainty_score":0.03385162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007218290917071771,"score_gpt":0.2315606952041901,"score_spread":0.2243424042871183,"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."}}