{"id":"W4213358509","doi":"10.3386/w29749","title":"Assessing Misallocation in Agriculture: Plots versus Farms","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; UK Research and Innovation","keywords":"Agriculture; Environmental science; Agricultural economics; Agricultural science; Business; Geography; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003285084,0.0002340162,0.0004493663,0.0001584983,0.0002489726,0.0001855142,0.0006918884,0.0003684995,0.002380341],"category_scores_gemma":[0.0005292461,0.0001064759,0.0002030639,0.0004644325,0.00009995924,0.0003218826,0.0002906079,0.0008878275,0.000092173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111813,"about_ca_system_score_gemma":0.0008144533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01446826,"about_ca_topic_score_gemma":0.008584355,"domain_scores_codex":[0.9968881,0.0002312409,0.0007496588,0.0005905395,0.001070045,0.0004704306],"domain_scores_gemma":[0.9973693,0.001327842,0.0004201263,0.00008228636,0.0006899415,0.0001105037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000663328,0.001291624,0.01259417,0.0003708428,0.0007096973,0.00002838146,0.0005265315,0.007328016,0.03478591,0.222005,0.575706,0.1439905],"study_design_scores_gemma":[0.001313056,0.0006944756,0.1970635,0.0001728167,0.00003064972,0.00003987184,0.002002492,0.0002834963,0.0005743694,0.04532445,0.7512514,0.001249435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4400734,0.0007677554,3.189496e-8,0.002824625,0.001088436,0.0006724609,0.0002613805,0.00002729521,0.5542846],"genre_scores_gemma":[0.9885987,0.00138271,0.00002176393,0.00002825386,0.001892925,0.0001571972,0.003659339,0.000004101907,0.004255001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5500296,"threshold_uncertainty_score":0.9985316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5387031213664504,"score_gpt":0.5282209545736687,"score_spread":0.01048216679278169,"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."}}