{"id":"W1770848146","doi":"10.1111/cjag.12020","title":"Effects of Crop Prices, Nuisance Costs, and Wetland Regulation on Saskatchewan NAWMP Implementation Goals","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Wetland; Nuisance; Revenue; Drainage; Agriculture; Waterfowl; Natural resource economics; Environmental science; Business; Water resource management; Economics; Geography; Ecology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003484951,0.0003562083,0.0003574409,0.0004792705,0.0008076706,0.002916977,0.00100548,0.0005843398,0.003076753],"category_scores_gemma":[0.007893919,0.0003207952,0.0005828259,0.0007933087,0.0008231508,0.001096931,0.001984966,0.001124343,0.0002280235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01265846,"about_ca_system_score_gemma":0.01546348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3732758,"about_ca_topic_score_gemma":0.6023479,"domain_scores_codex":[0.9973567,0.001025485,0.0001273548,0.0001919322,0.0005482041,0.0007503866],"domain_scores_gemma":[0.9924681,0.002931906,0.001308999,0.000354243,0.001953864,0.0009828357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001472613,0.001324907,0.7120792,0.0002208841,0.000841925,0.001272697,0.001069302,0.161262,0.01161069,0.03379816,0.0059264,0.06912119],"study_design_scores_gemma":[0.0001301337,0.0009611209,0.8973422,0.00009738559,0.000237039,0.0001093978,0.004006531,0.07496519,0.005253286,0.006703639,0.01007116,0.0001229157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788035,0.00005617107,0.0009662285,0.0004198472,0.000008320874,0.0001004039,0.0003926677,0.00002434975,0.01922857],"genre_scores_gemma":[0.994474,0.00009002797,0.001026556,0.0002144027,0.000001531474,0.0001115808,0.0003386358,0.00001103746,0.003732217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6267242,"threshold_uncertainty_score":0.7422062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230784846571942,"score_gpt":0.1638976700304289,"score_spread":0.1408191853732347,"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."}}