{"id":"W3123078107","doi":"","title":"Contractual Structure in Agriculture with Endogenous Matching","year":2013,"lang":"en","type":"preprint","venue":"Warwick Research Archive Portal (University of Warwick)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sharecropping; Moral hazard; Matching (statistics); Economics; Margin (machine learning); Microeconomics; Principal–agent problem; Agency (philosophy); Endogeny; Incentive; Imperfect; Agriculture; Econometrics; Mathematics; Computer science; Statistics; Finance; Biology","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":[0.002122777,0.0003264274,0.0006950032,0.0006670754,0.0008548468,0.002380676,0.001322292,0.001693757,0.008116094],"category_scores_gemma":[0.007840896,0.0004498175,0.0006951367,0.0009481907,0.002656707,0.002953914,0.001601408,0.001417428,0.0007364538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002586289,"about_ca_system_score_gemma":0.001463808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004902404,"about_ca_topic_score_gemma":0.003553742,"domain_scores_codex":[0.9988276,0.000379897,0.00005174224,0.0002832359,0.0001739194,0.0002834577],"domain_scores_gemma":[0.9964274,0.001249734,0.001135418,0.0005680491,0.0001992034,0.0004202703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001399815,0.0002883868,0.005617433,0.00005127896,0.00003573892,0.000216048,0.0002962337,0.2627829,0.001116462,0.7061834,0.001163869,0.02210833],"study_design_scores_gemma":[0.00006731623,0.00008292919,0.002025559,0.00001684536,0.00001071594,0.00008042748,0.000191921,0.4554604,0.0002989791,0.5393672,0.002373627,0.00002396492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7168013,0.0003246196,0.2458437,0.001466074,0.00004055086,0.000159629,0.0002950768,0.0001220088,0.0349469],"genre_scores_gemma":[0.9796113,0.000132161,0.01124668,0.00005637598,0.00001567953,0.00004392945,0.00005717777,0.00001482331,0.008821766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008116094,"threshold_uncertainty_score":0.02715105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924923105380014,"score_gpt":0.2181517887323023,"score_spread":0.1689025576785022,"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."}}