{"id":"W2113645250","doi":"10.1016/j.biocon.2008.05.016","title":"Protecting the African elephant: A dynamic bioeconomic model of ivory trade","year":2008,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Canada Research Chairs","keywords":"African elephant; Tourism; Natural resource economics; Economics; Business; International trade; Wildlife trade; Geography; Ecology; Wildlife; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00044833,0.00008781961,0.0001156324,0.00001571353,0.0003446746,0.000003589981,0.0001756792,0.0001114128,0.0001476402],"category_scores_gemma":[0.0001927384,0.00005753889,0.00004805363,0.0001325127,0.0004522407,0.0001008063,0.00005798051,0.0001614333,0.00004330864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006342908,"about_ca_system_score_gemma":0.00002235972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001226146,"about_ca_topic_score_gemma":0.0001199722,"domain_scores_codex":[0.9991632,0.0001772281,0.0002442134,0.0001995574,0.000066047,0.0001497414],"domain_scores_gemma":[0.999445,0.0002195746,0.0001614776,0.0001433793,0.000005483393,0.00002506346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009151598,0.00008670994,0.9446306,0.000004145742,0.00001216539,0.000001258075,0.0005740947,0.002141061,0.04951647,0.0005159961,0.0005397666,0.001886238],"study_design_scores_gemma":[0.0001526256,0.00009180421,0.8992791,0.000002647528,0.000004461946,0.000008445647,0.00009121036,0.09782551,0.0005520047,0.001620436,0.0002848001,0.00008699155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931301,0.00001587411,0.001487967,0.004247704,0.00003182035,0.0003130936,0.000004227144,0.00003852648,0.0007307083],"genre_scores_gemma":[0.9975043,0.00002154023,0.0007536188,0.001551236,0.00001042057,0.00006067919,0.00000745222,0.000003914015,0.0000868292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09568445,"threshold_uncertainty_score":0.2650993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04861920475883787,"score_gpt":0.2209492395953301,"score_spread":0.1723300348364922,"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."}}