{"id":"W3026822395","doi":"10.1111/agec.12592","title":"Nudging farmers in crop choice using price information: Evidence from Ethiopian Commodity Exchange","year":2020,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Commodity; Economics; Crop; Agricultural economics; Agribusiness; Agriculture; Forestry; Geography; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000131973,0.0002812969,0.0003361634,0.00001127456,0.000293334,0.0002312471,0.0005721553,0.0001854301,0.0002243949],"category_scores_gemma":[0.0001592939,0.0001025599,0.0001279917,0.0004079988,0.00007014283,0.002125631,0.0002276538,0.0003585121,0.0001486399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781343,"about_ca_system_score_gemma":0.0000160661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004843325,"about_ca_topic_score_gemma":0.002386667,"domain_scores_codex":[0.9984267,0.00008722117,0.0004992004,0.0003993921,0.0001449789,0.0004425291],"domain_scores_gemma":[0.9989607,0.0003420515,0.0002799692,0.00006429037,0.00008444571,0.0002685665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003277687,0.0002658595,0.4790677,0.0002383048,0.0001565729,0.00004042433,0.02388515,0.03173313,0.2921868,0.0005116841,0.008798072,0.1627886],"study_design_scores_gemma":[0.0002310287,0.00009388004,0.9742104,0.00009106207,0.00001596647,0.000009257307,0.003073025,0.003032343,0.001206466,0.00003650256,0.0174706,0.000529508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907341,0.0003818951,0.000009704611,0.007848875,0.0002003371,0.0003419345,0.00008527419,0.00008719081,0.0003106761],"genre_scores_gemma":[0.99697,0.0005389116,0.0002504077,0.001471607,0.0005676862,0.0000122775,0.0001639397,0.000001039475,0.00002410477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4951427,"threshold_uncertainty_score":0.7321691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05248158512182153,"score_gpt":0.2339740093604589,"score_spread":0.1814924242386374,"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."}}