{"id":"W200157262","doi":"","title":"Effects of moose population density on development of forest stands in Central European Russia.","year":2002,"lang":"en","type":"article","venue":"Alces","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Population density; Population; Ecology; Forest management; Agroforestry; Environmental protection; Forestry; Biology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008547665,0.00004845829,0.000100723,0.000006497261,0.00005144522,0.000002215862,0.00005073973,0.00002376248,0.00002503216],"category_scores_gemma":[0.00002414597,0.00001838201,0.00001817168,0.00007485365,0.00002064277,0.00002445243,0.00001880488,0.0000297212,0.000004363088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007327507,"about_ca_system_score_gemma":5.901022e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005580131,"about_ca_topic_score_gemma":0.004436823,"domain_scores_codex":[0.9995778,0.00005416423,0.0001268691,0.00007806463,0.0000612668,0.0001018832],"domain_scores_gemma":[0.9997563,0.0001499004,0.00005748097,0.00001260362,0.000008160093,0.00001557528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002007665,0.0001063015,0.9632756,0.00001297606,0.00001010468,0.000005230333,0.0003408832,0.000006372483,0.008015478,0.0001120209,0.00006206841,0.02803287],"study_design_scores_gemma":[0.00008159054,0.00008966116,0.9900276,0.00002699402,0.000003137912,3.096135e-7,0.00003420872,0.00001327036,0.009412399,0.00004268073,0.000227766,0.00004038444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989892,0.0001204999,2.948723e-7,0.00007699247,0.00004351509,0.00006434765,0.000003411993,0.000006432455,0.0006953253],"genre_scores_gemma":[0.9998442,0.00003718549,0.00003159893,0.00002353232,0.00001758877,9.587977e-7,0.000007064419,2.136214e-7,0.0000376515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02799249,"threshold_uncertainty_score":0.2475851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653706901838043,"score_gpt":0.1856301078633246,"score_spread":0.1690930388449442,"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."}}