{"id":"W4385326738","doi":"10.1016/j.tfp.2023.100418","title":"Wildlife and human safety in the Tarangire ecosystem, Tanzania","year":2023,"lang":"en","type":"article","venue":"Trees Forests and People","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Institut de Cardiométabolisme et Nutrition; Tanzania Commission for Science and Technology; Social Sciences and Humanities Research Council of Canada; Canadian Asian Studies Association; University of Alberta; University of Lethbridge; International Development Research Centre; McGill University","keywords":"Wildlife; Livelihood; Maasai; Geography; Human–wildlife conflict; Wildlife conservation; Poaching; Wildlife corridor; Wildlife management; Environmental resource management; Tanzania; Environmental planning; Socioeconomics; Ecology; Agriculture; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003904093,0.0001102147,0.00007677315,0.0003832357,0.001714608,0.0005707282,0.0002224639,0.0002937652,0.001911996],"category_scores_gemma":[0.0007096113,0.0001397983,0.00006939976,0.0004027387,0.00113327,0.0007916669,0.001073175,0.0003190773,0.00009820797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008912842,"about_ca_system_score_gemma":0.0008507622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01542956,"about_ca_topic_score_gemma":0.06310428,"domain_scores_codex":[0.99985,0.00006093987,0.00000749264,0.00001236828,0.00001467928,0.00005441208],"domain_scores_gemma":[0.9996711,0.00009710233,0.000129741,0.000009162501,0.00002739623,0.00006540352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008422008,0.00007850368,0.6032558,0.0005336902,0.00002060578,0.007352601,0.3310044,0.0002002711,0.004498847,0.002408924,0.002659386,0.04790277],"study_design_scores_gemma":[0.00000722522,0.0001832598,0.6456989,0.0003417604,0.00001820674,0.001692169,0.3410599,0.0001410029,0.0002426804,0.0003973536,0.01020066,0.00001685275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979554,0.0004476195,0.00004878045,0.0003712294,0.000005059617,0.000007397931,0.00002604477,0.000001231437,0.001137028],"genre_scores_gemma":[0.9990686,0.0003736731,0.000081538,0.00008016326,0.00000286706,0.00001072498,0.00001953548,5.971521e-7,0.000362293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01542956,"threshold_uncertainty_score":0.03067946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009464797000833823,"score_gpt":0.225776212323706,"score_spread":0.2163114153228722,"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."}}