{"id":"W2266893289","doi":"10.7717/peerj.1681","title":"Testing the effects of perimeter fencing and elephant exclosures on lion predation patterns in a Kenyan wildlife conservancy","year":2016,"lang":"en","type":"article","venue":"PeerJ","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Fencing; Predation; Perimeter; Wildlife; Kenya; Geography; Ecology; Fishery; Biology; Mathematics; Computer science","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":[0.0002591061,0.00006764215,0.00008042619,0.00002367128,0.0000612497,0.000006855421,0.00007128137,0.00003980713,0.00005132952],"category_scores_gemma":[0.0006007641,0.00003987047,0.00001322317,0.00008064634,0.00008093203,0.0001253511,0.00005107464,0.00004937249,0.00001786739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003676558,"about_ca_system_score_gemma":0.000006716551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000317101,"about_ca_topic_score_gemma":0.000283238,"domain_scores_codex":[0.9993854,0.00009893883,0.0001323853,0.0001554049,0.0001095777,0.0001183485],"domain_scores_gemma":[0.9990071,0.0007763441,0.00007590841,0.0001137464,0.000006257966,0.0000206544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000157499,0.00002422347,0.9516255,0.00001412635,0.000002451234,0.000001857046,0.000265749,0.000008807042,0.03802069,0.00001672757,0.0001787549,0.009825394],"study_design_scores_gemma":[0.0003234357,0.0001475221,0.9933094,0.0001254471,0.000005845066,0.000002746707,0.00001811761,0.000213264,0.005517415,0.0002198335,0.00006148255,0.00005547114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980388,0.00001633924,0.0001073001,0.001356849,0.00006957209,0.0001920935,0.000001411673,0.00001228456,0.0002053205],"genre_scores_gemma":[0.9990705,0.000009354114,0.0001051342,0.0006808756,0.00001948429,0.00002424951,7.755498e-7,0.000004831003,0.00008477745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04168395,"threshold_uncertainty_score":0.1625871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298734643564328,"score_gpt":0.2169616523259035,"score_spread":0.2039743058902602,"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."}}