{"id":"W4385163638","doi":"10.5897/ijbc2023.1582","title":"Rural women vulnerability to human-wildlife conflicts: Lessons from villages near Mikumi National Park, Southeast Tanzania","year":2023,"lang":"en","type":"article","venue":"International Journal of Biodiversity and Conservation","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Geographic Society","keywords":"Wildlife; Tanzania; National park; Geography; Vulnerability (computing); Socioeconomics; Maasai; Livelihood; Wildlife conservation; Environmental protection; Livestock; Environmental planning; Agriculture; Ecology; Forestry","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":[0.000900847,0.0003547812,0.0002549201,0.0005439353,0.005636791,0.001061582,0.0006565775,0.0006594675,0.003311636],"category_scores_gemma":[0.001397382,0.0003130868,0.0001832582,0.0005377685,0.001581304,0.001241047,0.002242952,0.001028402,0.0002557288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053143,"about_ca_system_score_gemma":0.002293385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0274436,"about_ca_topic_score_gemma":0.1075088,"domain_scores_codex":[0.9996365,0.0001898102,0.000009733209,0.00002224691,0.00002054471,0.0001211048],"domain_scores_gemma":[0.9994388,0.000193206,0.00009695283,0.00001317903,0.00005768662,0.0002001446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005667248,0.0001615219,0.08946589,0.0004090986,0.00001166176,0.006961943,0.8689439,0.00003267407,0.001026229,0.0006582593,0.004940371,0.02733177],"study_design_scores_gemma":[0.00001118388,0.0002075923,0.05021912,0.0002932442,0.00001335473,0.0007496313,0.9397845,0.00002837812,0.00006917169,0.0002062054,0.008408097,0.000009580223],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924879,0.000971445,0.00007581316,0.003600594,0.00004162681,0.00004273712,0.00005244467,0.000003362698,0.002724024],"genre_scores_gemma":[0.9954214,0.001921076,0.0002131346,0.0009986103,0.00002754031,0.00006453319,0.00003702459,0.000003671823,0.001313032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0274436,"threshold_uncertainty_score":0.05456769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271903370291506,"score_gpt":0.2661266060468643,"score_spread":0.2389362690177137,"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."}}