{"id":"W2105790906","doi":"10.1086/508689","title":"Agricultural Deskilling and the Spread of Genetically Modified Cotton in Warangal","year":2007,"lang":"en","type":"article","venue":"Current Anthropology","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Deskilling; Agriculture; Bt cotton; Process (computing); Biotechnology; Biology; Engineering; Work (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003147742,0.0002665966,0.0001327488,0.001128669,0.004046536,0.001513554,0.0006475627,0.0006041123,0.002198982],"category_scores_gemma":[0.0007411696,0.0002747744,0.0001116695,0.001652832,0.003563235,0.001047662,0.002102361,0.0009201589,0.0001257455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167301,"about_ca_system_score_gemma":0.001134052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06361847,"about_ca_topic_score_gemma":0.1689118,"domain_scores_codex":[0.999545,0.000161751,0.00001072846,0.00005178686,0.00003701167,0.0001935629],"domain_scores_gemma":[0.9992698,0.0002227076,0.0002827059,0.00003682156,0.00003739158,0.0001506399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002635803,0.0003984058,0.3931255,0.000197549,0.00004304995,0.02425303,0.5310796,0.0002163243,0.009636039,0.005933187,0.0009712953,0.03388234],"study_design_scores_gemma":[0.00001111093,0.0001863683,0.5526729,0.00005273706,0.0000204163,0.003604307,0.4338751,0.0002792599,0.0008307512,0.0007724758,0.007649864,0.00004464716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989724,0.00008840711,0.00001693437,0.0001378459,0.000001224341,0.000002797004,0.000006082105,9.065521e-7,0.0007734669],"genre_scores_gemma":[0.9994552,0.0001940904,0.00002491654,0.0000306398,0.000001578519,0.000002014417,0.000006889277,7.794645e-7,0.0002838688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06361847,"threshold_uncertainty_score":0.1264964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02089198843656679,"score_gpt":0.2659198930350369,"score_spread":0.2450279045984702,"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."}}