{"id":"W2565842065","doi":"10.2981/wlb.00258","title":"Current nature reserve management in China and effective conservation of threatened pheasant species","year":2016,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; National Natural Science Foundation of China","keywords":"Threatened species; Conservation Reserve Program; Ecology; Habitat; Nature reserve; Habitat fragmentation; Habitat destruction; Pheasant; Geography; Endangered species; Umbrella species; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004288882,0.0001673791,0.0001169568,0.0006749301,0.0005365238,0.0004581257,0.0002972542,0.0001598017,0.001605778],"category_scores_gemma":[0.0004292224,0.00008650798,0.0001285082,0.000540251,0.0003358811,0.0005675179,0.0003787643,0.0001141965,0.00008427942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007490888,"about_ca_system_score_gemma":0.000850789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552905,"about_ca_topic_score_gemma":0.05751498,"domain_scores_codex":[0.9998431,0.0000227817,0.0000180361,0.00003617015,0.0000352411,0.00004460824],"domain_scores_gemma":[0.9995344,0.0000315074,0.0001942669,0.00002971773,0.00006626836,0.0001439987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001030473,0.00009337271,0.876719,0.0003846203,0.00006308677,0.0007375236,0.001488937,0.001442104,0.01119487,0.001362017,0.002230076,0.1041814],"study_design_scores_gemma":[0.000003866003,0.00003914278,0.9951945,0.00002072485,0.0000105897,0.0001285162,0.0004783867,0.0005845557,0.0001804071,0.0001262991,0.003225918,0.000006986134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947948,0.0007375373,0.000352909,0.0001667024,0.00001772192,0.00001229372,0.0001346626,0.00001784562,0.003765656],"genre_scores_gemma":[0.9979993,0.000386838,0.0003769143,0.00004953711,0.00001304641,0.00001235398,0.0001834327,0.000002950813,0.0009755729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01552905,"threshold_uncertainty_score":0.03087729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008449794919873329,"score_gpt":0.2452487967098378,"score_spread":0.2367990017899644,"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."}}