{"id":"W2141898766","doi":"10.1126/science.1132780","title":"Effective Enforcement in a Conservation Area","year":2006,"lang":"en","type":"article","venue":"Science","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":336,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Poaching; Bushmeat; Wildlife; Rhinoceros; National park; Trophy; Enforcement; Wildlife conservation; Geography; Tanzania; Law enforcement; Protected area; Environmental protection; Agroforestry; Environmental planning; Ecology; Political science; Biology; Archaeology; Law","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":[0.001197594,0.0001217336,0.0001541886,0.00104185,0.00215724,0.001607112,0.0007333502,0.0005926727,0.01160853],"category_scores_gemma":[0.004105004,0.0001399469,0.0001067912,0.0008760093,0.001072695,0.001489739,0.001613574,0.0006034083,0.0006890043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008078248,"about_ca_system_score_gemma":0.001799348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005700369,"about_ca_topic_score_gemma":0.01749396,"domain_scores_codex":[0.9990245,0.0002203338,0.00005321579,0.0001831902,0.0002497264,0.0002690096],"domain_scores_gemma":[0.9965075,0.0004172614,0.001175963,0.0005326658,0.000511787,0.0008548868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001742539,0.0007815743,0.6331514,0.0001651902,0.00006821421,0.002207766,0.004973431,0.001736074,0.007359517,0.02095625,0.01743483,0.3109914],"study_design_scores_gemma":[0.00003847182,0.0005940524,0.8264101,0.0003701791,0.00005189822,0.001751871,0.007087009,0.002932272,0.001269199,0.005453713,0.1540156,0.00002560555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319229,0.0005985256,0.003182553,0.002730927,0.00009231091,0.0001189968,0.0001622548,0.00006697354,0.06112451],"genre_scores_gemma":[0.9893918,0.0001599648,0.001820915,0.0003924799,0.00005690475,0.00003701948,0.0001440405,0.00000745289,0.007989474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160853,"threshold_uncertainty_score":0.03883445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005195627314410499,"score_gpt":0.2075931132301888,"score_spread":0.2023974859157783,"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."}}