{"id":"W4313511634","doi":"10.1080/08941920.2022.2161028","title":"“When Will the Tree Grow for Me to Benefit from It?”: Tree Tenure Reform to Counter Mining in Southwestern Ghana","year":2023,"lang":"en","type":"article","venue":"Society & Natural Resources","topic":"Mining and Resource Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Lease; Business; Bureaucracy; Land tenure; Payment; Tree (set theory); Limiting; Natural resource economics; Geography; Economics; Agriculture; Political science; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003820648,0.0002939013,0.0002949543,0.0001104684,0.0001896821,0.0001404972,0.0005105204,0.0001552612,0.00002065155],"category_scores_gemma":[0.00004988709,0.0001998369,0.0002799734,0.0005097,0.00003593163,0.00007914857,0.0002214024,0.0003018305,0.0000519963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002286562,"about_ca_system_score_gemma":0.000005715043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002893757,"about_ca_topic_score_gemma":0.001550778,"domain_scores_codex":[0.9982442,0.00001677107,0.0003204141,0.0003934556,0.0003983683,0.0006267771],"domain_scores_gemma":[0.9991835,0.0002304636,0.00004272847,0.0003839613,0.00003535686,0.0001239845],"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":[0.0001939559,0.000037816,0.004939126,0.0002722356,0.000829972,0.00002540139,0.5202254,0.02277276,0.003202521,0.00008041249,0.3493759,0.09804451],"study_design_scores_gemma":[0.001292183,0.0001863244,0.03695073,0.0006329418,0.0001243705,0.00000214661,0.1599637,0.05830945,0.0004196482,0.000186571,0.7409384,0.0009935705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884257,0.000614488,0.00006906919,0.007638599,0.0003589844,0.0005199331,0.00008457835,0.0003718104,0.001916895],"genre_scores_gemma":[0.9843504,0.00002268096,0.0008980196,0.002044568,0.0005333027,0.0001665846,0.00006443253,0.00008313196,0.0118369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3915625,"threshold_uncertainty_score":0.8149112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227980768181559,"score_gpt":0.2261869151385433,"score_spread":0.2139071074567277,"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."}}