{"id":"W2081305132","doi":"10.5539/enrr.v3n1p51","title":"Analysis of Poaching Activities in Kainji Lake National Park of Nigeria","year":2012,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Experience-Based Knowledge Management","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poaching; Geography; Socioeconomics; National park; Descriptive statistics; Livestock; Environmental protection; Forestry; Environmental health; Statistics; Population; Medicine; Mathematics; Archaeology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361419,0.0001597816,0.0001623042,0.001627395,0.0006001341,0.0004455184,0.0001892484,0.0001796346,0.001222515],"category_scores_gemma":[0.0005541008,0.0001515949,0.0001127644,0.001427087,0.0002756599,0.0003453544,0.000547599,0.0002017734,0.00009808443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345466,"about_ca_system_score_gemma":0.0006467988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332519,"about_ca_topic_score_gemma":0.06621052,"domain_scores_codex":[0.9998291,0.0000328116,0.0000247774,0.00002152162,0.00003569272,0.00005617016],"domain_scores_gemma":[0.9996158,0.00007079546,0.0001608064,0.000009791484,0.00005691794,0.0000859349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003629489,0.00005600972,0.9816796,0.0001550019,0.000009578671,0.001241538,0.005044672,0.00009004265,0.001069081,0.0001451216,0.0002374028,0.01023559],"study_design_scores_gemma":[6.084375e-7,0.00003320252,0.9856638,0.00004420327,0.00000386235,0.0003185031,0.013087,0.0000759748,0.00007445375,0.00002089038,0.0006748178,0.000002691643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987477,0.0001327929,0.00003278159,0.0000245983,0.000002174102,0.0000184411,0.000166786,0.000001149803,0.0008736031],"genre_scores_gemma":[0.9984154,0.0003778269,0.0002415742,0.00001101281,0.000001731668,0.00003042097,0.0003054393,7.775702e-7,0.0006158022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01332519,"threshold_uncertainty_score":0.02649522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061385042249991,"score_gpt":0.312498902460654,"score_spread":0.2818850520381541,"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."}}