{"id":"W2130343774","doi":"10.1111/j.1365-2664.2009.01641.x","title":"Price of prosperity: economic development and biological conservation in China ()","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Prosperity; China; Natural resource economics; Investment (military); Economics; Business; Environmental resource management; Development economics; Economic growth; Geography; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046672,0.00005120578,0.0001417298,0.00005467692,0.0000386067,0.000004906246,0.00008904357,0.00005010643,0.0002372888],"category_scores_gemma":[0.000008414891,0.00004193751,0.00001469332,0.0000526388,0.00007856161,0.00003622314,0.00006463097,0.00006455709,0.000008823963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691084,"about_ca_system_score_gemma":0.00002099318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001476644,"about_ca_topic_score_gemma":0.0001024425,"domain_scores_codex":[0.9994741,0.00001609355,0.0002640812,0.00008771884,0.00006747589,0.00009055181],"domain_scores_gemma":[0.9996998,0.00001898511,0.0002066269,0.00003966002,0.000005085752,0.00002988794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000770042,0.00009536299,0.9869778,0.000003244028,0.000008476492,0.000003352587,0.000754833,0.0004515652,0.0008379653,0.0001273822,0.0001581543,0.01050488],"study_design_scores_gemma":[0.0005079934,0.0001096489,0.9925812,0.000002129339,0.000005145978,0.000005727858,0.0001611506,0.0001360015,0.0003065801,0.0007781531,0.005361015,0.00004528825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935793,0.00001060743,0.00001436719,0.0008857593,0.0000324809,0.0001416021,2.774756e-7,0.000001869869,0.0053337],"genre_scores_gemma":[0.9980478,0.00002977557,0.001574415,0.0003198169,0.00000974177,0.000001207106,7.466527e-7,8.862148e-7,0.0000155532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01045959,"threshold_uncertainty_score":0.2598146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009455513752197824,"score_gpt":0.1891773866501436,"score_spread":0.1797218728979458,"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."}}