{"id":"W2491899072","doi":"10.1007/978-1-137-09105-5_6","title":"Winners and Losers from the Illicit Drug Industry in Colombia","year":2005,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Peasant; Indigenous; Politics; Illicit drug; Business; Economy; Political science; Economic growth; Economics; Drug; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005941667,0.0003919106,0.0003891898,0.00140008,0.007977312,0.008098042,0.0006132126,0.0009413344,0.0142941],"category_scores_gemma":[0.001015277,0.0002193764,0.0002030518,0.001048116,0.002259201,0.002536491,0.002831883,0.002216083,0.001289931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007203391,"about_ca_system_score_gemma":0.003685269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.115525,"about_ca_topic_score_gemma":0.2830496,"domain_scores_codex":[0.9992427,0.0001433869,0.00001489616,0.00006806695,0.0001953972,0.0003356886],"domain_scores_gemma":[0.9996456,0.00004838997,0.00003386958,0.00001719418,0.00007614168,0.0001787887],"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":[0.0001994383,0.0001915625,0.01357136,0.0004241552,0.0000228497,0.002015625,0.1076103,0.0002978794,0.001012328,0.3140447,0.2990536,0.2615562],"study_design_scores_gemma":[0.00001007573,0.00002755619,0.01480542,0.0002186431,0.00001219848,0.000250519,0.06561437,0.0001701444,0.0002613892,0.005915766,0.9126946,0.0000193891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1470171,0.02737433,0.00025567,0.03593117,0.001545176,0.00005118694,0.0001500074,0.00006996987,0.7876053],"genre_scores_gemma":[0.5581149,0.01472743,0.0002309083,0.002404248,0.0003788531,0.00002682219,0.0001257911,0.00008749401,0.4239035],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.115525,"threshold_uncertainty_score":0.2297052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053937595378133,"score_gpt":0.2550482033042781,"score_spread":0.2345088273504967,"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."}}