{"id":"W7044351507","doi":"","title":"In a Wounded Land : Conservation, Extraction, and Human Well-Being in Coastal Tanzania","year":2024,"lang":"en","type":"article","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tanzania Commission for Science and Technology; Social Sciences and Humanities Research Council of Canada; University of Dar es Salaam","keywords":"Tanzania; Natural resource; Community-based conservation; Biodiversity; Marine conservation; Resource (disambiguation); Resistance (ecology); Exploitation of natural resources","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085736,0.0001600297,0.00013331,0.0003287162,0.003490627,0.001974016,0.0003196729,0.0004857692,0.002268955],"category_scores_gemma":[0.000591721,0.0001245937,0.000101295,0.0006933821,0.003229573,0.001449357,0.001311254,0.0008092537,0.0001021647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225925,"about_ca_system_score_gemma":0.0009441652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237456,"about_ca_topic_score_gemma":0.05125014,"domain_scores_codex":[0.9998245,0.00008345371,0.000006621237,0.00001090289,0.00002008501,0.00005441365],"domain_scores_gemma":[0.9998395,0.00006221408,0.00003894138,0.000004962265,0.000009725748,0.00004448725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004566668,0.00007656853,0.02708385,0.0005523422,0.00001326666,0.00400311,0.8529416,0.0001687232,0.001512622,0.02786538,0.04168842,0.04404845],"study_design_scores_gemma":[0.000008529531,0.0001331287,0.1004993,0.0006259203,0.00001262697,0.001007935,0.7781572,0.0001239268,0.0001946162,0.002850328,0.1163681,0.00001842365],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221488,0.02510469,0.0002202724,0.02193551,0.0004186207,0.00003517264,0.00006770348,0.000009997402,0.03005929],"genre_scores_gemma":[0.9813374,0.008388916,0.000299867,0.001434616,0.00008452445,0.00002037688,0.00002867805,0.000005504799,0.008400233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01237456,"threshold_uncertainty_score":0.02460504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08146127971185319,"score_gpt":0.3857098106901225,"score_spread":0.3042485309782693,"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."}}