{"id":"W3122689683","doi":"10.22004/ag.econ.9232","title":"More Reasons Why Farmers Have So Little Interest in Futures Markets","year":2007,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Futures contract; Hedge; Certainty; Market neutral; Economics; Risk aversion (psychology); Incentive; Leverage (statistics); Expected utility hypothesis; Argument (complex analysis); Transaction cost; Futures market; Actuarial science; Microeconomics; Financial economics; Mathematics","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":[0.002078705,0.0002313526,0.0003969406,0.0005416829,0.001216316,0.002341188,0.0005445697,0.002406875,0.01562683],"category_scores_gemma":[0.01164399,0.0001631474,0.0002962634,0.0007518521,0.002843771,0.004253179,0.0009633395,0.001129617,0.001181927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008848234,"about_ca_system_score_gemma":0.0004272366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001893431,"about_ca_topic_score_gemma":0.001763225,"domain_scores_codex":[0.9989158,0.0003104036,0.00003777315,0.0002417043,0.0002478912,0.0002464553],"domain_scores_gemma":[0.9953606,0.00208751,0.001108486,0.0004189005,0.0006366021,0.0003879781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001007214,0.0005222245,0.1673045,0.0009335665,0.0002387919,0.00782457,0.05497396,0.001909624,0.03236908,0.4262283,0.05786484,0.2488233],"study_design_scores_gemma":[0.0002072296,0.0003059499,0.1788955,0.0004487447,0.00007437151,0.004501243,0.07728741,0.00276401,0.00844463,0.5001975,0.2266289,0.0002443613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7117232,0.005037063,0.01271668,0.1825816,0.0003325515,0.00005343885,0.0004717377,0.0001636007,0.08692004],"genre_scores_gemma":[0.9865614,0.000840424,0.0008781446,0.003633073,0.0001453276,0.00001482382,0.00005590462,0.00002260143,0.007848329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01562683,"threshold_uncertainty_score":0.05227691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228377548991977,"score_gpt":0.2505752728576279,"score_spread":0.2082914973677082,"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."}}