{"id":"W3126402147","doi":"10.1111/joac.12410","title":"Agrifood field analysis and sociocultural brokerage. Mexico and the United States: 1950–2016","year":2021,"lang":"en","type":"article","venue":"Journal of Agrarian Change","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Sociocultural evolution; Field (mathematics); Corporate governance; Agriculture; Value (mathematics); Social capital; Capitalism; Cultural capital; Political science; Creativity; Economic geography; Regional science; Economy; Sociology; Economic growth; Economic system; Geography; Social science; Economics; Management; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005980053,0.0001420579,0.0003616836,0.0002104362,0.0002601468,0.0005551185,0.0001297913,0.0000838042,0.00005610456],"category_scores_gemma":[0.0003748316,0.00008377984,0.0002287647,0.0009644835,0.0001202807,0.0007446327,0.00009418825,0.0002312825,0.000001609986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003081763,"about_ca_system_score_gemma":0.00002623573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00231781,"about_ca_topic_score_gemma":0.0005212625,"domain_scores_codex":[0.9990419,0.00006840283,0.0003023993,0.0001279211,0.0002350907,0.0002243079],"domain_scores_gemma":[0.9989336,0.0001539293,0.0003187268,0.0001078397,0.0004466738,0.00003921947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00192761,0.001040572,0.7519157,0.00139895,0.01026103,0.001179222,0.09271829,0.0001223469,0.0001452014,0.03733324,0.07068436,0.03127346],"study_design_scores_gemma":[0.008899238,0.0001930267,0.7065866,0.0002065619,0.006808681,0.00008590009,0.1450778,0.001210423,0.00007948888,0.0369345,0.09306644,0.0008513781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364418,0.001593973,0.0001148667,0.06053219,0.0002785719,0.0001464249,0.00001214962,0.00001493093,0.0008651317],"genre_scores_gemma":[0.9910006,0.0007188145,0.00002058857,0.006958718,0.00114591,0.000001759706,0.00003024858,0.000005876307,0.0001174782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05455885,"threshold_uncertainty_score":0.5353021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02619305136082046,"score_gpt":0.2550113173188922,"score_spread":0.2288182659580718,"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."}}