{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006348224,0.0001185234,0.000131319,0.000004285846,0.0002396019,0.00009530616,0.0001164593,0.00007732531,0.0001333207],"category_scores_gemma":[0.000003061477,0.0000180677,0.00004748065,0.00005243288,0.00008456052,0.0001496218,0.00005815996,0.00005725567,0.00006771701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001538311,"about_ca_system_score_gemma":0.000002266451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002252641,"about_ca_topic_score_gemma":0.001810156,"domain_scores_codex":[0.9993947,0.00001139089,0.0001408181,0.0002135862,0.00003359166,0.0002058932],"domain_scores_gemma":[0.9997544,0.00002437032,0.00005555693,0.00003125227,0.00003080379,0.0001036678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002820792,0.0003146442,0.1457565,0.00004899221,0.0003170405,0.00001322454,0.001472411,0.00000528874,0.05810358,0.01491257,0.03854914,0.7402245],"study_design_scores_gemma":[0.0002379677,0.0003245651,0.539211,0.00001132508,0.00001117533,0.0000508892,0.0003670789,0.0000237,0.001058814,0.0007952829,0.4576505,0.0002576806],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946283,0.00007351989,2.256051e-7,0.002278449,0.0002632282,0.00009076243,0.00003008475,0.00004269858,0.002592763],"genre_scores_gemma":[0.994195,0.0003977428,0.00003576692,0.0001405579,0.0009731036,0.000003151152,0.00007267277,5.642013e-7,0.004181454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7399668,"threshold_uncertainty_score":0.1842848,"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."}}