{"id":"W7075686978","doi":"","title":"Managing the Miombo Woodlands of Southern Africa : Policies, Incentives and Options for the Rural Poor, Volume 2. Technical Annexes","year":2014,"lang":"en","type":"other","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Incentive; Woodland; Revenue; Vulnerability (computing); Section (typography); Sustainable management; Shifting cultivation; Work (physics)","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":[0.0007711213,0.0005554256,0.0001452174,0.000692316,0.001350781,0.003091928,0.0006630701,0.00138321,0.05522953],"category_scores_gemma":[0.0009634785,0.000262462,0.0001388183,0.001266455,0.0004424751,0.00221866,0.001037337,0.0009273982,0.00845331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283361,"about_ca_system_score_gemma":0.003700521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056322,"about_ca_topic_score_gemma":0.02966776,"domain_scores_codex":[0.9998154,0.00004788582,0.00001057039,0.00001739661,0.00005302646,0.00005573616],"domain_scores_gemma":[0.9996876,0.00008190003,0.00004919805,0.00001464186,0.00007250235,0.00009420759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004045319,0.0001930111,0.002097643,0.001176126,0.000002829424,0.0003252291,0.001801379,0.0007376818,0.002150269,0.02448054,0.7571402,0.2098546],"study_design_scores_gemma":[0.000005244928,0.00002928791,0.002844566,0.0007062145,0.000001522639,0.00008797765,0.001137058,0.00006407448,0.0002061273,0.001684032,0.9932271,0.000006801165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01622675,0.08554912,0.004593033,0.07156073,0.007691075,0.002312166,0.003402296,0.0005496257,0.8081152],"genre_scores_gemma":[0.0436042,0.1084048,0.008741472,0.00895905,0.001714944,0.001701164,0.002697715,0.0002413748,0.8239353],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05522953,"threshold_uncertainty_score":0.1847612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745256799116002,"score_gpt":0.2422470180988206,"score_spread":0.2147944501076606,"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."}}