{"id":"W2784017108","doi":"10.1111/1365-2664.13091","title":"Geostatistical models using remotely‐sensed data predict savanna tsetse decline across the interface between protected and unprotected areas in Serengeti, Tanzania","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tanzania Wildlife Research Institute; Biotechnology and Biological Sciences Research Council; Medical Research Council; International Development Research Centre; Directorate for Biological Sciences; Department for International Development, UK Government; European Commission; Department for International Development; Natural Environment Research Council; Seventh Framework Programme; Tanzania Commission for Science and Technology; UNICEF","keywords":"Transect; Abundance (ecology); Tanzania; Woodland; Geography; Grassland; National park; Sampling (signal processing); Aerial survey; Ecology; Environmental science; Physical geography; Cartography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0003505839,0.0001702537,0.0005060111,0.0001502875,0.0001921769,0.00004898062,0.0004604944,0.000198907,0.00008807335],"category_scores_gemma":[0.000763065,0.0001174018,0.00003108932,0.0003720815,0.0006278898,0.0001373021,0.0004522652,0.000910228,0.000008176421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431193,"about_ca_system_score_gemma":0.0003267211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005216464,"about_ca_topic_score_gemma":0.0004787384,"domain_scores_codex":[0.9980091,0.0001176357,0.000739518,0.0003120624,0.0003128724,0.0005087452],"domain_scores_gemma":[0.9980093,0.000424007,0.0003217122,0.0006006619,0.0003791267,0.0002652356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02683632,0.002026351,0.03174759,0.0004979278,0.00190016,0.0006666946,0.007500144,0.0006988062,0.7871959,0.001470692,0.01635004,0.1231093],"study_design_scores_gemma":[0.005745449,0.001715796,0.9243295,0.0001165961,0.0001380622,0.001231853,0.0006624637,0.05204679,0.003041599,0.007602011,0.003161939,0.0002079675],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723725,0.00006582079,0.02155547,0.00444222,0.00005626273,0.001057682,0.0002042498,0.00001853478,0.0002272707],"genre_scores_gemma":[0.9852607,0.00006364237,0.01395961,0.0002343519,0.0003894483,0.000009522797,0.00003606581,0.00002538625,0.00002129308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8925819,"threshold_uncertainty_score":0.4787508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08400450491222904,"score_gpt":0.3909290564029402,"score_spread":0.3069245514907112,"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."}}