{"id":"W2932911785","doi":"10.1111/agec.12487","title":"Risk aversion and land allocation between annual and perennial crops in semisubsistence farming: a stochastic optimization approach","year":2019,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Perennial plant; Agriculture; Economics; Production (economics); Risk aversion (psychology); Expected utility hypothesis; Agricultural economics; Yield (engineering); Agricultural science; Microeconomics; Environmental science; Agronomy; Geography; Financial economics","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":[0.0001359428,0.0001858162,0.000228446,0.00001446876,0.0001720009,0.00009125091,0.0001341046,0.0001454198,0.00001614306],"category_scores_gemma":[0.0000266256,0.0000667945,0.0000383862,0.0001622933,0.00006094326,0.0004110238,0.0001013732,0.0001599436,0.00000860338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004934879,"about_ca_system_score_gemma":0.000004822495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006851206,"about_ca_topic_score_gemma":0.0003766392,"domain_scores_codex":[0.9989613,0.00005128045,0.0002369736,0.0004398429,0.00007273052,0.0002378214],"domain_scores_gemma":[0.9995042,0.0001470424,0.0001516203,0.00003874611,0.00004820429,0.0001101826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004772764,0.00005651678,0.9089169,0.00002474263,0.00002015635,5.821747e-7,0.0009474054,0.06829359,0.004052143,0.00007358426,0.00003729147,0.01752935],"study_design_scores_gemma":[0.0002749862,0.0001193366,0.9839821,0.00002079039,0.00001815171,0.00001707099,0.002502589,0.01268853,0.00005327188,0.00002316996,0.00004935523,0.0002505835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989664,0.0001433983,0.00002815554,0.0001937868,0.00005657954,0.0003541219,0.00005434535,0.0000275662,0.0001756308],"genre_scores_gemma":[0.9985883,0.0004356416,0.0004428575,0.00001721781,0.0001237989,0.000008749247,0.000181906,0.000001000195,0.0002005051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07506525,"threshold_uncertainty_score":0.2723801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005676887912370493,"score_gpt":0.1683809858264808,"score_spread":0.1627040979141103,"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."}}