{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002938661,0.0001050741,0.0001646346,0.00005531843,0.00003613723,0.000002553043,0.0001132025,0.0001498967,0.000171916],"category_scores_gemma":[0.00007793205,0.00006997465,0.00002370995,0.0001444246,0.0003541121,0.0001040945,0.00015063,0.0001042543,0.00003245318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007476305,"about_ca_system_score_gemma":0.000005571018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009447304,"about_ca_topic_score_gemma":0.0003415542,"domain_scores_codex":[0.9991166,0.0001618679,0.0001979664,0.0002799851,0.0000648619,0.0001787471],"domain_scores_gemma":[0.9995769,0.0001370854,0.00009803994,0.000148699,0.00000764875,0.00003167213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009936209,0.00005271191,0.9788599,0.00001012218,0.0000142046,0.000001906324,0.00006419839,0.000001872649,0.001559296,0.006964529,0.001471583,0.0109003],"study_design_scores_gemma":[0.0007221928,0.0001122524,0.9823681,0.00003807493,0.000008304989,0.000001919569,0.00001524585,0.00003014788,0.0002960071,0.007285537,0.009033991,0.0000882015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992446,0.0001672815,0.000123035,0.004879049,0.0001924567,0.0003688465,0.00000810824,0.00001356846,0.001801673],"genre_scores_gemma":[0.9986172,0.0004120935,0.0001622792,0.0005575168,0.0000251176,0.00003473816,0.000008766334,0.000004572224,0.0001776644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108121,"threshold_uncertainty_score":0.2853483,"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."}}