{"id":"W4405689449","doi":"10.1002/bod2.12029","title":"Building national parks to protect key ecosystems in China","year":2024,"lang":"en","type":"article","venue":"Biological Diversity","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); China; Ecosystem; Environmental resource management; Environmental planning; Environmental protection; Business; Geography; Environmental science; Ecology; Computer science; Computer security; Archaeology; Biology","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":[0.001360778,0.0004786058,0.000214045,0.001596902,0.002881191,0.001336715,0.00147411,0.000501255,0.00713259],"category_scores_gemma":[0.0009384807,0.0002463688,0.0003067942,0.001711199,0.0006840524,0.001644055,0.003447875,0.0006168584,0.0004961771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002469729,"about_ca_system_score_gemma":0.01553872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238248,"about_ca_topic_score_gemma":0.07772981,"domain_scores_codex":[0.999443,0.0001026731,0.00004239699,0.00006435949,0.0001249899,0.0002226165],"domain_scores_gemma":[0.9992612,0.00003749252,0.00006776379,0.00006122404,0.0001255981,0.000446761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001747487,0.0003439295,0.1221536,0.002600439,0.00009833759,0.003028392,0.006948499,0.004684606,0.006445645,0.05178126,0.09326907,0.7084715],"study_design_scores_gemma":[0.000139085,0.0002359766,0.3065696,0.0007929704,0.0001042433,0.001182491,0.005158608,0.00557893,0.001457646,0.01046893,0.6681963,0.0001152658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.657069,0.02343035,0.03005552,0.01666247,0.002050962,0.003142349,0.004146161,0.002212267,0.2612309],"genre_scores_gemma":[0.920943,0.008275608,0.02803364,0.002384234,0.0002036012,0.001401644,0.003885652,0.0001064957,0.034766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238248,"threshold_uncertainty_score":0.06438798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505412994954924,"score_gpt":0.2345947201482764,"score_spread":0.2095405901987271,"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."}}