{"id":"W3125872355","doi":"","title":"African Wildlife Policy: Protecting Wildlife Herbivores on Private Game Ranches","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wildlife; Wildlife conservation; Externality; Natural resource economics; North American Model of Wildlife Conservation; Business; Government (linguistics); Livestock; Herbivore; Environmental resource management; Agroforestry; Economics; Geography; Ecology; Environmental science; Forestry; Microeconomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007546969,0.0003406889,0.0003671779,0.000316085,0.001310715,0.002126955,0.0006277903,0.002329103,0.005342409],"category_scores_gemma":[0.002393406,0.00025641,0.0002730128,0.0005358701,0.001524186,0.002125072,0.0009429816,0.0009281762,0.0001701396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00417478,"about_ca_system_score_gemma":0.002926381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0366478,"about_ca_topic_score_gemma":0.05524467,"domain_scores_codex":[0.9995677,0.000209196,0.000006586653,0.00003757161,0.00003153075,0.0001474488],"domain_scores_gemma":[0.9991106,0.0005273161,0.0001929923,0.00002524011,0.00004353919,0.0001003058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007091988,0.0005558276,0.03205982,0.0003710227,0.0001146096,0.002450054,0.001118471,0.4468403,0.003450107,0.4819368,0.004259846,0.02613387],"study_design_scores_gemma":[0.0006784917,0.001385502,0.07311224,0.0006140094,0.0004465186,0.0007036972,0.009255616,0.6302508,0.002889295,0.2446743,0.03580618,0.0001834555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464306,0.0008858403,0.005056533,0.006790108,0.00002801479,0.00008167334,0.000237825,0.0000229134,0.04046651],"genre_scores_gemma":[0.9963189,0.0005476446,0.0007826485,0.0002069901,0.000008596667,0.00002527766,0.0000200002,0.000002299897,0.002087636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0366478,"threshold_uncertainty_score":0.07286894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005553762548570819,"score_gpt":0.2123876995155844,"score_spread":0.2068339369670135,"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."}}