{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005238691,0.00004527003,0.00004220573,0.00004376944,0.0001242947,0.00001579185,0.0001395668,0.00002173413,0.0004921827],"category_scores_gemma":[0.00005743712,0.00004204236,0.000008745968,0.0006040473,0.0004254867,0.000350751,0.00006335782,0.00004410344,0.0002307861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074903,"about_ca_system_score_gemma":0.00002259671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009949469,"about_ca_topic_score_gemma":0.001508268,"domain_scores_codex":[0.9993265,0.00001889768,0.00009590094,0.0001982933,0.0001849965,0.0001754276],"domain_scores_gemma":[0.9998024,0.00004036076,0.00003409858,0.00009576124,0.000006557101,0.00002086508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000428965,0.00002355527,0.9909893,4.697066e-7,1.547294e-7,0.000001457035,0.00006478858,0.001164467,0.004666441,0.001726873,0.0004234543,0.0009347522],"study_design_scores_gemma":[0.0001395302,0.00002491971,0.9869419,0.000003172367,7.46991e-7,0.000001302041,0.00002137343,0.00519224,0.00156803,0.004572025,0.001482039,0.00005266024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673691,0.000003114793,0.0003275936,0.0004332996,0.00007897506,0.0001888155,3.001148e-7,0.00001517817,0.0315836],"genre_scores_gemma":[0.9985595,4.206759e-7,0.0002619981,0.0007375149,0.000008611187,0.00004000104,0.000001284551,0.00000131617,0.0003893225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03119427,"threshold_uncertainty_score":0.5389056,"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."}}