{"id":"W1523308299","doi":"","title":"A Study of the Impact of the Wetlands Easement Program on Agricultural Land Valuest","year":2016,"lang":"en","type":"article","venue":"Land Economics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Groundwater recharge; Recreation; Arable land; Easement; Waterfowl; Population; Resource (disambiguation); Wildlife; Land use; Agriculture; Habitat; Marsh; Environmental science; Geography; Water resource management; Environmental protection; Groundwater; Ecology; Aquifer","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":[0.002882443,0.000223401,0.0002829374,0.0008100607,0.0008066153,0.001666001,0.000864012,0.0007590746,0.00783274],"category_scores_gemma":[0.01502697,0.0001444254,0.000532682,0.001432806,0.0008380361,0.00121536,0.0008724823,0.002068772,0.0003990857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003869031,"about_ca_system_score_gemma":0.002418387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03996477,"about_ca_topic_score_gemma":0.05622432,"domain_scores_codex":[0.9975674,0.001393539,0.00004523044,0.0001073154,0.0003599723,0.0005265517],"domain_scores_gemma":[0.9792982,0.01248527,0.003234816,0.0003222339,0.001248485,0.003410982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004538498,0.01762046,0.8565614,0.0001401078,0.0005096096,0.0008637945,0.001466227,0.0115627,0.0008133157,0.01719556,0.01529933,0.07342906],"study_design_scores_gemma":[0.0002767203,0.003120061,0.9674709,0.00004929016,0.0001210944,0.0001080507,0.004781167,0.01363949,0.0004754656,0.002325087,0.007604889,0.00002787065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851813,0.0001806924,0.0001342403,0.001377975,0.0000180463,0.00007130863,0.0005546164,0.000006992109,0.01247489],"genre_scores_gemma":[0.9972668,0.00009399345,0.00008137551,0.0001465694,0.00002434885,0.00003795202,0.0002921936,0.00000314276,0.00205366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03996477,"threshold_uncertainty_score":0.07946432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06261824715845325,"score_gpt":0.2284401697679226,"score_spread":0.1658219226094694,"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."}}