{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140139,0.0001323589,0.0001802429,0.0004593326,0.0002724836,0.0004083996,0.0002615103,0.0001954543,0.001047366],"category_scores_gemma":[0.0008961022,0.00009946125,0.0002342106,0.0003372211,0.0004004394,0.0001831407,0.0005212324,0.0001963376,0.0001415224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990809,"about_ca_system_score_gemma":0.0003574477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02385337,"about_ca_topic_score_gemma":0.04878879,"domain_scores_codex":[0.9996866,0.0001408355,0.00001713272,0.0000511153,0.00002125096,0.00008315368],"domain_scores_gemma":[0.9992835,0.0002172748,0.0001616129,0.00004459194,0.00008620244,0.000206825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006115581,0.00008574354,0.9896478,0.00001415003,0.0001655203,0.000254671,0.0003364696,0.0008553157,0.002773658,0.0003338953,0.0002360054,0.004685311],"study_design_scores_gemma":[0.000002131522,0.00002764435,0.9994363,0.000001982686,0.00001153567,0.00003093057,0.0001278386,0.0001850028,0.00006208759,0.00001828817,0.00009496263,0.000001249779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995449,0.00006971475,0.00002543418,0.00001047849,0.000001284451,8.335157e-7,0.00007047204,0.000001456712,0.0002754176],"genre_scores_gemma":[0.9997526,0.00003016914,0.00001532882,0.000002613705,9.430459e-7,0.00000118839,0.00008263203,7.601661e-7,0.0001137889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02385337,"threshold_uncertainty_score":0.04742903,"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."}}