{"id":"W158904449","doi":"","title":"Pastures of Peonage: Tracing the Feedback Loop of Food Through I.P., G.M.O.s, Trade, Immigration, and U.S. Agro-Maquilas","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Agribusiness; Intellectual property; Immigration; International trade; Food processing; Economics; Agriculture; Economy; Political science; Law; Geography","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":[0.0007105054,0.0001613166,0.0002192385,0.000009134356,0.0002352686,0.00002682463,0.0002384566,0.00008681913,0.00002892424],"category_scores_gemma":[0.00002737306,0.00004540638,0.00010814,0.0002555074,0.0000741123,0.0003099016,0.00003859922,0.0005555581,0.000001915665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007132995,"about_ca_system_score_gemma":0.00006461351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007729202,"about_ca_topic_score_gemma":0.001325566,"domain_scores_codex":[0.9981291,0.00009651924,0.0003630062,0.0001267132,0.0002971604,0.0009875381],"domain_scores_gemma":[0.9994373,0.0001085224,0.0002883665,0.00004193006,0.00005999667,0.00006387637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003613606,0.0009672159,0.1697875,0.0000952639,0.001230629,0.000001713477,0.01331398,0.00003716934,0.1132839,0.4337779,0.005978019,0.2611653],"study_design_scores_gemma":[0.0004473775,0.0009575438,0.8556346,0.00005876341,0.00009814779,0.0003444817,0.01448202,0.00000362995,0.01644008,0.1066464,0.004558166,0.000328808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846509,0.01332401,0.00004201024,0.001555836,0.00009714714,0.0001440879,0.000008036277,0.00001042442,0.0001675744],"genre_scores_gemma":[0.9954885,0.003862549,0.00004187122,0.00007814271,0.0003346755,0.000003679309,0.000009884926,0.000001429823,0.000179269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.685847,"threshold_uncertainty_score":0.2413654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009538176252152556,"score_gpt":0.1990404161729135,"score_spread":0.1895022399207609,"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."}}