{"id":"W4388603288","doi":"10.1016/j.landusepol.2023.106962","title":"Unpacking the dynamics of natural resource conflicts: The case of African rosewood","year":2023,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Natural resource; Appropriation; Resource (disambiguation); Unpacking; Political economy; Commodity; Development economics; Pastoralism; Politics; Economy; Political science; Sociology; Economics; Geography; Law; Market economy","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":[0.000210515,0.00008245544,0.00009287806,0.00002899634,0.0001273492,0.00001473462,0.0002143399,0.00003521949,0.00004830711],"category_scores_gemma":[0.0001132416,0.0000423921,0.00004589715,0.0004121181,0.0002776669,0.00007482954,0.0001960639,0.0001093058,0.00002456238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004955894,"about_ca_system_score_gemma":0.000004754967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027488,"about_ca_topic_score_gemma":0.003196715,"domain_scores_codex":[0.9993536,0.00006809551,0.0001351325,0.00009984933,0.0001292422,0.0002140089],"domain_scores_gemma":[0.9993423,0.0002006266,0.00008937046,0.0003222511,0.000001794054,0.00004370071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002331979,0.0003927312,0.49644,0.00009007574,0.0003058602,0.0005708034,0.0564189,0.3552278,0.007398949,0.04086222,0.00666996,0.03538949],"study_design_scores_gemma":[0.0007439992,0.00009748717,0.928345,0.0000321633,0.00005689626,0.0002681136,0.002198565,0.02703,0.001928107,0.0009928434,0.03803008,0.00027674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944632,0.00001723321,0.00001195554,0.002159873,0.00002485638,0.00006762495,0.00003217878,0.00001805666,0.003204997],"genre_scores_gemma":[0.9975694,0.00003665137,0.00002412163,0.0003270638,0.00003507485,0.000002796073,0.000009271283,0.000009860559,0.001985789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.431905,"threshold_uncertainty_score":0.9963158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726109383411835,"score_gpt":0.2498230844917188,"score_spread":0.2325619906576005,"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."}}