{"id":"W4243079075","doi":"10.1002/nad.12096","title":"Efficiency","year":2019,"lang":"en","type":"article","venue":"Journal for the Anthropology of North America","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Yield (engineering); Politics; Investment (military); Economics; Term (time); Political economy; Political science; Law; Ecology","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":[0.0001332164,0.0001119508,0.0002244453,0.000009546074,0.0004093591,0.0000150516,0.0004104861,0.0000437213,0.0009008551],"category_scores_gemma":[0.00004056651,0.00002684282,0.0001654164,0.0002373057,0.0002727424,0.00005787071,0.00005154926,0.0001538127,0.00007397852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165817,"about_ca_system_score_gemma":0.0000161257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001028673,"about_ca_topic_score_gemma":0.0001515643,"domain_scores_codex":[0.9991117,0.00003981764,0.0002668402,0.0001341251,0.0001648212,0.0002827027],"domain_scores_gemma":[0.9991342,0.0003515147,0.0002771725,0.00005115513,0.0001221524,0.000063807],"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":[0.0003131292,0.0003380546,0.2795698,0.00001807651,0.0002322851,0.000008054443,0.0006781315,0.0003102538,0.002255358,0.0005895103,0.03611372,0.6795737],"study_design_scores_gemma":[0.0002142921,0.001126879,0.6190152,0.000009667206,0.00003074557,0.0001047931,0.0009722546,0.00006580052,0.0003407224,0.0008479531,0.3771182,0.0001534316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994863,0.0004158966,0.0001051258,0.003242042,0.000920397,0.0002405534,0.00002554192,0.00001371508,0.0001737492],"genre_scores_gemma":[0.9977599,0.0006067052,0.0001752822,0.0004476283,0.0002448502,0.000005840531,0.00001697171,8.302556e-7,0.0007420203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6794202,"threshold_uncertainty_score":0.9863731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335973506934577,"score_gpt":0.2483900820900295,"score_spread":0.2350303470206837,"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."}}