{"id":"W2346997066","doi":"10.1111/joac.12159","title":"Transgenic Crops in Latin America: Expropriation, Negative Value and the State","year":2016,"lang":"en","type":"article","venue":"Journal of Agrarian Change","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Expropriation; Latin Americans; Neoliberalism (international relations); Agriculture; Value (mathematics); State (computer science); Political science; Economics; Political economy; Law; Biology; Ecology","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":[0.000373111,0.0001106778,0.0002175248,0.00001782815,0.00008048047,0.00003950248,0.0001660313,0.00004431972,0.00007817239],"category_scores_gemma":[0.00007334213,0.0000218704,0.00007145878,0.0002686805,0.00008197982,0.0002321434,0.00002663202,0.0001124878,0.000007829757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003757173,"about_ca_system_score_gemma":0.00000952667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002582599,"about_ca_topic_score_gemma":0.0005891791,"domain_scores_codex":[0.9989989,0.0001645904,0.0003316544,0.0001113268,0.000217811,0.000175705],"domain_scores_gemma":[0.9992434,0.0002801077,0.0002815427,0.00002469856,0.00009371286,0.00007654986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001532576,0.0002442318,0.06070725,0.00001982474,0.0002089848,0.00006364075,0.03091376,0.000005794839,0.01988066,0.003681109,0.005199116,0.877543],"study_design_scores_gemma":[0.001301589,0.00017974,0.975807,0.00007347386,0.00001215393,0.00001685639,0.0006667306,0.000003520281,0.000910247,0.01697986,0.003930277,0.0001185299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854819,0.0002594883,0.00001393758,0.01381358,0.0001194545,0.000219307,0.00001845468,0.000006285497,0.0000675467],"genre_scores_gemma":[0.9981229,0.0007996642,0.0001255467,0.0004365277,0.0003028988,0.0000116379,0.000002014304,6.471048e-7,0.0001981821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9150998,"threshold_uncertainty_score":0.08918492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288811712454256,"score_gpt":0.2017727486310152,"score_spread":0.1788846315064727,"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."}}