{"id":"W2560272853","doi":"10.1007/s10393-016-1194-9","title":"Spatial Overlap Between People and Non-human Primates in a Fragmented Landscape","year":2016,"lang":"en","type":"article","venue":"EcoHealth","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hamilton Health Sciences","funders":"Directorate for Social, Behavioral and Economic Sciences; Economic and Social Research Council; University of Washington","keywords":"Primate; Animal ecology; Geography; Population; Wildlife; Non human primate; Ecology; Biology; Evolutionary biology; Demography","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":[0.0005365909,0.00006892726,0.0002122151,0.00130455,0.0008690191,0.001030319,0.0003911272,0.0003866111,0.003056799],"category_scores_gemma":[0.003445659,0.0001720227,0.0001315699,0.00104996,0.001390257,0.0008388418,0.001520212,0.0001922583,0.0001494849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005668095,"about_ca_system_score_gemma":0.0002826904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01672348,"about_ca_topic_score_gemma":0.0668354,"domain_scores_codex":[0.9993891,0.0002803572,0.0000200199,0.0001151468,0.00008221086,0.0001132211],"domain_scores_gemma":[0.9978422,0.00121373,0.0003924973,0.0001287871,0.0001618895,0.0002608624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003932423,0.0001218818,0.9720576,0.00003727277,0.0001355509,0.0002391212,0.01064944,0.0006265456,0.002743341,0.001290526,0.0003307645,0.01137479],"study_design_scores_gemma":[0.000004610653,0.00005304777,0.9861802,0.00000878484,0.00001409071,0.0002003578,0.01143369,0.0006724533,0.0000494083,0.001090515,0.0002884261,0.000004372586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998916,0.00005982357,0.00008749244,0.00003502534,5.389944e-7,9.070242e-7,0.00001226881,8.856193e-7,0.0008869532],"genre_scores_gemma":[0.9998375,0.00001523495,0.00005148607,0.000006686978,0.000001154698,9.679014e-7,0.00001661481,4.571799e-7,0.00006986882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01672348,"threshold_uncertainty_score":0.0332523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871885563190687,"score_gpt":0.3429807666762685,"score_spread":0.3242619110443616,"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."}}