{"id":"W4295337148","doi":"10.1080/09614524.2022.2110571","title":"Retooling incentive mechanisms for effective smallholder tree growers’ contributions to global landscape restoration","year":2022,"lang":"en","type":"article","venue":"Development in Practice","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Cooperation and Exchange Programme; Department of Sport and Recreation, Northern Territory Government; Netherlands Institute of Government; Ministerium für Klimaschutz, Umwelt, Landwirtschaft, Natur- und Verbraucherschutz des Landes Nordrhein-Westfalen; International Interdisciplinary Laboratory for Advanced Functional Materials, Linköpings Universitet; Southern African Science Service Centre for Climate Change and Adaptive Land Management; Cultural Affairs and Missions Sector, Ministry of Higher Education; Foreign Affairs and International Trade Canada; Directorate-General for Migration and Home Affairs","keywords":"Incentive; Agroforestry; Tree (set theory); Natural resource economics; Business; Geography; Environmental planning; Economics; Environmental science; Market economy","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":[0.001086929,0.0001196601,0.0001069569,0.00006841813,0.0004174936,0.00004828952,0.0002011354,0.00003233967,0.0005226702],"category_scores_gemma":[0.000632099,0.000132905,0.0000261946,0.0006361859,0.0000161644,0.0004826767,0.000413621,0.0001267434,0.0003280659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451652,"about_ca_system_score_gemma":0.00004616751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202968,"about_ca_topic_score_gemma":0.0004100056,"domain_scores_codex":[0.9986662,0.0001682844,0.0002145437,0.0003093578,0.0003387402,0.0003028555],"domain_scores_gemma":[0.9994285,0.0002329598,0.0001172467,0.0001275479,0.00002537294,0.00006837554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005848224,0.002726119,0.09575924,0.00007468234,0.0005360704,0.0002089856,0.0375444,0.05828683,0.003110331,0.3570199,0.3190244,0.1198608],"study_design_scores_gemma":[0.001650373,0.0002925043,0.06014768,0.00001294899,0.00005171276,0.000008038505,0.001160433,0.00160999,0.0004857965,0.002909868,0.9312493,0.0004213397],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6363991,0.00007590562,0.1042679,0.02146542,0.002402993,0.01075022,0.0002772533,0.000293312,0.2240678],"genre_scores_gemma":[0.9715545,0.000003276017,0.02317595,0.002322448,0.00003391829,0.001493812,0.0001284792,0.00001243609,0.00127518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6122249,"threshold_uncertainty_score":0.5722872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009988304451368338,"score_gpt":0.28268377588578,"score_spread":0.2726954714344117,"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."}}