{"id":"W6907499346","doi":"10.22004/ag.econ.355369","title":"Bankers' Forecasts of Farmland Values: A Qualitative and Quantitative Evaluation","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; Land Values; Qualitative analysis; Quarter (Canadian coin); Agriculture; Survey data collection; Qualitative property; Agricultural land","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03805713,0.0002876532,0.0003897439,0.004087132,0.0008872278,0.002268086,0.0005566489,0.0006665584,0.00364965],"category_scores_gemma":[0.1191968,0.0002192034,0.0003154664,0.002925379,0.001963434,0.002991849,0.001626279,0.0007652544,0.0004537237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00412287,"about_ca_system_score_gemma":0.002479439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008978578,"about_ca_topic_score_gemma":0.0102667,"domain_scores_codex":[0.9771217,0.01256978,0.001482916,0.0006647956,0.007588997,0.0005717544],"domain_scores_gemma":[0.8373201,0.1186331,0.01093039,0.002952119,0.0290385,0.001125781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001682489,0.0008794683,0.608506,0.001137421,0.0001945127,0.0005234367,0.1968653,0.01403265,0.002184469,0.01379296,0.01194265,0.1482586],"study_design_scores_gemma":[0.0002265785,0.002029761,0.4947214,0.001408914,0.0001841144,0.0002406465,0.4201453,0.02924974,0.005763984,0.01276007,0.03295809,0.0003113437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685912,0.0001769841,0.005099003,0.001042701,0.0000278942,0.0006076258,0.002712643,0.00003036846,0.02171149],"genre_scores_gemma":[0.9943848,0.0001501693,0.002874233,0.0001094027,0.0000122014,0.0004625709,0.0006605823,0.000008618785,0.001337425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03805713,"threshold_uncertainty_score":0.2012678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.125098034354876,"score_gpt":0.3344004121441085,"score_spread":0.2093023777892325,"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."}}