{"id":"W2751140234","doi":"10.18352/erlacs.10270","title":"Reseña de Disrupting maize. Food, Biotechnology and Nationalism in Contemporary Mexico, por Gabriela Méndez Cota","year":2017,"lang":"en","type":"article","venue":"European Review of Latin American and Caribbean Studies | Revista Europea de Estudios Latinoamericanos y del Caribe","topic":"Latin American rural development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Latin Americans; Political science; Humanities; Power (physics); Sociology; Art; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00210724,0.0005990581,0.001654939,0.00007405903,0.0006666223,0.0001455432,0.0008308982,0.00005462024,0.00002229267],"category_scores_gemma":[0.003107967,0.0003337213,0.0001914273,0.0006713677,0.002685654,0.0001667293,0.001528083,0.0005049372,0.000009217932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493396,"about_ca_system_score_gemma":0.00008961773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006729629,"about_ca_topic_score_gemma":0.00006417635,"domain_scores_codex":[0.9950962,0.001418439,0.001338938,0.0009657496,0.0004613124,0.0007193555],"domain_scores_gemma":[0.9962108,0.0007447743,0.001994668,0.0004896972,0.0002821797,0.0002779313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009722365,0.0001997501,0.638847,0.001967788,0.0006170892,0.0004273199,0.00167306,0.000004921552,0.006695765,0.004063156,0.006992561,0.3384144],"study_design_scores_gemma":[0.0005811258,0.0008190323,0.9302609,0.00391713,0.0001242843,0.0001119705,0.004618555,0.00007421981,0.00008257306,0.0000350089,0.05852437,0.00085081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916061,0.06120051,0.00002753968,0.00872239,0.00007251135,0.001093208,0.0002118694,0.0001388041,0.01247217],"genre_scores_gemma":[0.9218683,0.07290602,0.002049899,0.002829174,0.0001142259,0.00004159607,0.00004612359,0.00002226694,0.000122451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3375636,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05016430036661861,"score_gpt":0.2932887769777051,"score_spread":0.2431244766110865,"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."}}