{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001962908,0.00008397542,0.0001923821,0.0008743298,0.0000818485,0.00003197369,0.0004316889,0.00003837879,0.00006147545],"category_scores_gemma":[0.00009878338,0.00007153663,0.00005758359,0.0008497883,0.0002389839,0.0003258523,0.0005761407,0.0002209048,0.000003107833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008033813,"about_ca_system_score_gemma":0.00001160916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002548251,"about_ca_topic_score_gemma":0.00006441788,"domain_scores_codex":[0.9979325,0.0002908363,0.0002158922,0.0002223925,0.001010435,0.0003279613],"domain_scores_gemma":[0.9991592,0.0004583865,0.00006881615,0.0002291266,0.00001914456,0.00006531304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008858173,0.0004469436,0.9036132,0.00007232929,0.0003322993,0.000003887974,0.03761699,0.001015343,0.01120758,0.009085047,0.0001201267,0.03639769],"study_design_scores_gemma":[0.0003673339,0.0001101854,0.9537892,0.00003147879,0.00001815409,5.126563e-7,0.002332329,0.02452444,0.006171396,0.0002787435,0.01218056,0.0001957182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949145,0.001848975,0.0004236393,0.0001089396,0.00003117067,0.0001110564,0.000003287761,0.000006001365,0.002552441],"genre_scores_gemma":[0.9984295,0.0001036746,0.0009015349,0.00001037682,0.00002689158,0.0000153511,0.000004095442,0.000003544214,0.0005050276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05017597,"threshold_uncertainty_score":0.2917179,"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."}}