{"id":"W3121251901","doi":"","title":"Moral Hazard: Experimental Evidence from Tenancy Contracts","year":2017,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Sharecropping; Leasehold estate; Moral hazard; Incentive; Cash; Economics; Cash flow; Microeconomics; Cash crop; Control (management); Agriculture; Production (economics); Finance","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":[0.0186782,0.0007357723,0.001202612,0.0005285947,0.0007624784,0.001698413,0.001682562,0.002633185,0.02112575],"category_scores_gemma":[0.09880429,0.000372165,0.000610252,0.0007170987,0.003636806,0.002159045,0.001471961,0.003073286,0.0009954789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000948746,"about_ca_system_score_gemma":0.0009834054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121694,"about_ca_topic_score_gemma":0.0006171092,"domain_scores_codex":[0.989336,0.00779321,0.0004360987,0.0008756065,0.001059412,0.0004996393],"domain_scores_gemma":[0.6172752,0.3128388,0.04482516,0.01938306,0.002503367,0.003174478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05968836,0.05682801,0.1927651,0.005655609,0.002563281,0.001984112,0.007643968,0.06408091,0.03241806,0.3970786,0.02116084,0.1581332],"study_design_scores_gemma":[0.01543672,0.02362457,0.1570414,0.0007240137,0.001000726,0.0007322925,0.002897939,0.1042982,0.01432873,0.6571215,0.02240111,0.0003927428],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486985,0.0007117721,0.01651335,0.003549687,0.0001498453,0.0003204812,0.0007182569,0.00006705282,0.02927108],"genre_scores_gemma":[0.9935066,0.0002884445,0.003140523,0.0005731781,0.00008041456,0.0002769553,0.0002055482,0.00001682311,0.00191151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112575,"threshold_uncertainty_score":0.09878099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03111221415380127,"score_gpt":0.2619189485678109,"score_spread":0.2308067344140096,"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."}}