{"id":"W2362023968","doi":"","title":"Towards the Impact of Tibet Culture on the Biodiversity of Whitehorse Snow Mountain Nature Reserve","year":2002,"lang":"en","type":"article","venue":"Forest Inventory and Planning","topic":"Environmental and Cultural Studies in Latin America and Beyond","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Nature reserve; Diversity (politics); Plateau (mathematics); Buddhism; Geography; Snow; Biodiversity conservation; Position (finance); Ecology; Environmental resource management; Political science; Environmental science; Archaeology; Biology; Business","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":[0.0006767635,0.0001336333,0.00007400034,0.0009935895,0.001029186,0.001445542,0.0002074384,0.0001094455,0.002886936],"category_scores_gemma":[0.0009997208,0.00005838718,0.0001583649,0.001216607,0.0006851961,0.0004774338,0.0007781973,0.0003492975,0.00007318997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001437549,"about_ca_system_score_gemma":0.001369574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04762357,"about_ca_topic_score_gemma":0.1093107,"domain_scores_codex":[0.9996674,0.0001292606,0.00001063187,0.00002174342,0.00006834714,0.0001026357],"domain_scores_gemma":[0.9993662,0.0001032724,0.0001133182,0.00001997691,0.0001452783,0.0002520133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001186026,0.00006916041,0.9632958,0.00003706182,0.00004944832,0.0003598231,0.006746972,0.0003094068,0.001177184,0.002963715,0.0002434335,0.02462942],"study_design_scores_gemma":[0.000001989633,0.00004281381,0.9909142,0.00001977271,0.00001706571,0.00003291787,0.007310828,0.0003046036,0.0001232341,0.0002686206,0.0009606765,0.00000317123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926348,0.0001006766,0.00004210329,0.0001227845,0.000003457166,0.000003676612,0.00003192999,6.640905e-7,0.007059829],"genre_scores_gemma":[0.9994888,0.00005298463,0.00003719695,0.00001238982,0.00000214265,0.000001716112,0.0000173006,3.043524e-7,0.0003870773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04762357,"threshold_uncertainty_score":0.09469277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809852494581424,"score_gpt":0.2451983268152224,"score_spread":0.2170998018694081,"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."}}