{"id":"W4200607915","doi":"10.1111/cjag.12301","title":"Spatially explicit modeling of wetland conservation costs in Canadian agricultural landscapes","year":2021,"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":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Wetland; Wetland conservation; Agriculture; Ecosystem services; Revenue; Natural resource economics; Conservation agriculture; Ecosystem; Environmental resource management; Environmental science; Business; Ecology; Economics","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":[0.0004413163,0.0004480123,0.0004361832,0.0008781324,0.0011852,0.001637435,0.001751956,0.001127056,0.002730458],"category_scores_gemma":[0.002067101,0.0004422556,0.0005824277,0.001443894,0.001023883,0.00073698,0.0006564733,0.0007790379,0.00009279628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02142749,"about_ca_system_score_gemma":0.008774604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9625786,"about_ca_topic_score_gemma":0.9387934,"domain_scores_codex":[0.999778,0.0000428998,0.00000729048,0.00004608142,0.0000345871,0.00009122687],"domain_scores_gemma":[0.9992751,0.0003212364,0.00009576969,0.00004289606,0.0001730421,0.00009182411],"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":[0.00001751507,0.00002097574,0.005025186,0.000006696242,0.00001167755,0.00003172686,0.00001877546,0.9902491,0.000130751,0.003019605,0.0003323027,0.001135758],"study_design_scores_gemma":[0.000009057261,0.000005520817,0.004158703,0.000003931487,0.000007293346,0.000006304598,0.0000387511,0.9945375,0.00004460407,0.000691132,0.0004880431,0.000009075141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811941,0.0002459803,0.007574465,0.0006973493,0.00001900278,0.00003064436,0.001428492,0.00007650639,0.00873346],"genre_scores_gemma":[0.996126,0.0001094426,0.001623728,0.00002832654,0.000004205453,0.00001237876,0.000261256,0.00001200116,0.001822731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03742141,"threshold_uncertainty_score":0.155468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05236386034487623,"score_gpt":0.1632124095521848,"score_spread":0.1108485492073085,"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."}}