{"id":"W4400773878","doi":"10.1016/j.foodpol.2024.102678","title":"Assessing misallocation in agriculture: Plots versus farms","year":2024,"lang":"en","type":"article","venue":"Food Policy","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"Economic and Social Research Council","keywords":"Agriculture; Agricultural economics; Economics; Agricultural science; Environmental science; Geography; Archaeology","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":[0.02397477,0.0004922391,0.0009938779,0.002798643,0.0009534009,0.003188116,0.001239783,0.0009529718,0.001698962],"category_scores_gemma":[0.1442694,0.0004395476,0.0007293059,0.007001743,0.002783394,0.003560461,0.004315848,0.000729349,0.0003313083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529731,"about_ca_system_score_gemma":0.0009380056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003496841,"about_ca_topic_score_gemma":0.00373842,"domain_scores_codex":[0.9536137,0.03300222,0.003410158,0.00407056,0.004891673,0.001011764],"domain_scores_gemma":[0.6770039,0.1987752,0.08452079,0.02814297,0.01000069,0.001556384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003800739,0.00008531201,0.9502362,0.0002129838,0.0005034055,0.0001991595,0.003631818,0.006830398,0.001221329,0.00435122,0.000424671,0.03192351],"study_design_scores_gemma":[0.00003523508,0.0004498115,0.9471922,0.0002219348,0.0002342133,0.0003910804,0.005542972,0.01720161,0.003440739,0.02042579,0.004793777,0.00007075195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560986,0.0007210408,0.03856362,0.0004038153,0.00003138652,0.0001377478,0.0006859003,0.00004688076,0.00331116],"genre_scores_gemma":[0.9896719,0.0001202261,0.009445032,0.00006362735,0.00001663877,0.0001065457,0.0002677042,0.00001113395,0.0002970793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02397477,"threshold_uncertainty_score":0.1267922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04821092690586099,"score_gpt":0.2933452852394862,"score_spread":0.2451343583336252,"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."}}