{"id":"W2607897585","doi":"10.22004/ag.econ.253250","title":"An Agent Based Simulation of Farm Succession and Farmland Valuation","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":"Portfolio; Business; Lease; Agriculture; Diversification (marketing strategy); Earnings; Valuation (finance); Family farm; Finance; Agricultural economics; Economics; Geography","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":[0.0003893894,0.0005434054,0.0006549216,0.0004490902,0.0005434171,0.001184146,0.001022442,0.001778406,0.005615588],"category_scores_gemma":[0.001780197,0.0003416725,0.0006038242,0.0004406365,0.0005554964,0.0006029466,0.0009715095,0.0009240826,0.0002822299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220896,"about_ca_system_score_gemma":0.001673454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0484267,"about_ca_topic_score_gemma":0.02632673,"domain_scores_codex":[0.9998327,0.00005661,0.000007764394,0.00002680491,0.00002616448,0.00004986514],"domain_scores_gemma":[0.999077,0.0005795929,0.00007917847,0.00003384973,0.0001006446,0.0001297097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000465091,0.00003379068,0.001485158,0.000009890702,0.00001247248,0.00006476488,0.00002324565,0.9946746,0.0001684807,0.002339519,0.0002176268,0.0009238683],"study_design_scores_gemma":[0.00001900355,0.00001790785,0.0002177962,0.000002919524,0.000005534099,0.00000565952,0.00002214252,0.9987677,0.00005148815,0.0005961698,0.0002901728,0.000003535286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8551034,0.0004032452,0.1001521,0.001280654,0.0001430396,0.0002442047,0.001888741,0.000543706,0.0402409],"genre_scores_gemma":[0.9847868,0.0001132668,0.009914334,0.00005310408,0.000008049387,0.0001294174,0.0003511256,0.00001121918,0.004632682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0484267,"threshold_uncertainty_score":0.09628963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06705585469953526,"score_gpt":0.2802434601557358,"score_spread":0.2131876054562006,"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."}}