{"id":"W2800641050","doi":"10.1111/agec.12433","title":"Renters, landlords, and farmland stewardship","year":2018,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Guelph","funders":"","keywords":"Landlord; Renting; Stewardship (theology); Agriculture; Business; Agricultural economics; Agricultural land; Land tenure; Tillage; Land management; Natural resource economics; Agroforestry; Conservation agriculture; Land use; Economics; Environmental stewardship; Environmental resource management; Geography; Ecology; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007117141,0.00006217411,0.0001978715,0.0004722931,0.000448728,0.000728781,0.0002890192,0.0002556345,0.006452882],"category_scores_gemma":[0.004815497,0.00007628507,0.000144018,0.0007577557,0.001162818,0.000720228,0.0005519039,0.0003028204,0.000204645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870066,"about_ca_system_score_gemma":0.001357781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1480425,"about_ca_topic_score_gemma":0.3180953,"domain_scores_codex":[0.9994759,0.0001637681,0.00003236595,0.00007399645,0.0001156065,0.0001383252],"domain_scores_gemma":[0.9901688,0.002329585,0.005251043,0.0003435257,0.0004147083,0.001492373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003304667,0.00004015474,0.9953941,0.00001210908,0.00002478698,0.00005451126,0.0004738198,0.0001662716,0.000187849,0.0005575375,0.0002066948,0.002849202],"study_design_scores_gemma":[0.000002243106,0.00001942806,0.9976127,0.000009106119,0.000007656869,0.0000205264,0.001211897,0.0002638789,0.00004942559,0.0001237713,0.000677089,0.000002338841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978698,0.00008744633,0.0000730229,0.0002503257,0.000001291338,0.000002988162,0.0001173907,0.000001129001,0.001596457],"genre_scores_gemma":[0.9994344,0.00004064646,0.00003520705,0.000008115132,0.000002402106,8.789872e-7,0.00003854691,4.083318e-7,0.000439343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480425,"threshold_uncertainty_score":0.2943616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119193934360783,"score_gpt":0.1775474060885046,"score_spread":0.1663554667448968,"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."}}