{"id":"W2170350599","doi":"10.1080/00045600801922422","title":"Diamond Wars? Conflict Diamonds and Geographies of Resource Wars","year":2008,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":271,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Natural resource; Resource (disambiguation); Scrutiny; Consumption (sociology); Politics; Geopolitics; Resource curse; Political economy; Political ecology; Commodity; Political geography; Sociology; Political science; Economy; Environmental ethics; Economics; Law; Social science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007543127,0.0001102199,0.0003784616,0.0001211016,0.0002298462,0.000008407877,0.000353251,0.00007580416,0.00001566775],"category_scores_gemma":[0.001063232,0.00009378541,0.0002987989,0.001137521,0.002836172,0.0001181413,0.00006652827,0.0001100552,5.623693e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001426266,"about_ca_system_score_gemma":0.00007376092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995895,"about_ca_topic_score_gemma":0.0005061339,"domain_scores_codex":[0.9981133,0.0002883222,0.000368988,0.0001503834,0.0007252613,0.0003537029],"domain_scores_gemma":[0.9976631,0.0005388623,0.00115596,0.0002216844,0.0003108062,0.0001095781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002159714,0.0000547499,0.9807658,0.0000093344,0.0001601252,1.93741e-7,0.00672783,0.0000054166,0.0001330698,0.006173362,0.004354721,0.001593757],"study_design_scores_gemma":[0.0001713802,0.00009713099,0.9038045,0.00002356188,0.00003301977,1.368246e-7,0.002445444,0.000002448945,0.001575645,0.0005254715,0.09121425,0.0001070157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807014,0.0005004895,0.000002144229,0.00443459,0.00005199766,0.0001312527,0.00007107587,0.00001647151,0.0140906],"genre_scores_gemma":[0.9953994,0.002796833,0.00004584011,0.000654438,0.0000317267,0.000004150891,0.000001472114,0.000007941853,0.001058237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08685952,"threshold_uncertainty_score":0.9998775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02984175697206432,"score_gpt":0.3001760844810591,"score_spread":0.2703343275089948,"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."}}