{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007778557,0.00008916215,0.0002180689,0.00002469312,0.0004042531,0.00002936888,0.0002888902,0.00006691847,0.000481483],"category_scores_gemma":[0.00009888629,0.000045971,0.00007679271,0.0000693695,0.0003719212,0.0003994753,0.0001439886,0.00007009942,0.00001954442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002338028,"about_ca_system_score_gemma":0.00001931469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008886475,"about_ca_topic_score_gemma":0.007447874,"domain_scores_codex":[0.9991785,0.0001676801,0.0001150165,0.0002070167,0.0001681746,0.0001635751],"domain_scores_gemma":[0.9990247,0.0003199361,0.0002463334,0.00007901737,0.0002438877,0.00008616279],"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":[0.0008778197,0.0003927565,0.04938108,0.0002035624,0.0005605111,0.0000205677,0.1634161,0.00004383655,0.1334613,0.03717592,0.004925167,0.6095414],"study_design_scores_gemma":[0.0008499257,0.000805775,0.9114159,0.00005504214,0.00005475269,0.000003586033,0.07892777,0.002349604,0.00102048,0.002067569,0.002215038,0.0002345206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939497,0.000064143,0.000005163889,0.001824285,0.00002683537,0.0002178469,0.0001489493,0.000003857105,0.00375922],"genre_scores_gemma":[0.9988468,0.0002348119,0.0003089977,0.00001302619,0.0000242301,3.9793e-7,0.0000328694,5.083741e-7,0.0005383947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8620349,"threshold_uncertainty_score":0.9977134,"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."}}