{"id":"W7098244748","doi":"","title":"Enhanced prairie wetland effects on surface water quality in Crowfoot","year":2003,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Nutrient; Water quality; Hydrology (agriculture); Total suspended solids; Surface runoff; Sink (geography); Surface water; Irrigation","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":[0.0003409882,0.000141196,0.000189756,0.0002230533,0.0005817711,0.0005334174,0.0003000188,0.0002239271,0.0006127391],"category_scores_gemma":[0.000538358,0.00008389118,0.000144248,0.0002363514,0.0005856546,0.0001920754,0.0003455932,0.0002732195,0.00004176244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003621623,"about_ca_system_score_gemma":0.001686415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3709581,"about_ca_topic_score_gemma":0.7358552,"domain_scores_codex":[0.9997823,0.00004344957,0.000004672717,0.00003549878,0.00005777874,0.00007639162],"domain_scores_gemma":[0.9994572,0.00007831417,0.000119547,0.00002042246,0.0001166121,0.0002079268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001452254,0.002150527,0.9456162,0.00005233895,0.0001427352,0.002277589,0.002179786,0.001782223,0.02709368,0.0002294511,0.0004771052,0.01654608],"study_design_scores_gemma":[0.00001573068,0.0005359506,0.9970432,0.000001572149,0.000008394482,0.00005415822,0.0007721893,0.0005974133,0.0005207562,0.00002537543,0.0004206047,0.000004690716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998623,0.000007663303,0.00001969046,0.00000748043,5.39925e-7,0.000004794095,0.000009462076,6.529779e-7,0.00008721751],"genre_scores_gemma":[0.9994875,0.00001853949,0.00009517658,0.00001714487,0.000001151934,0.000004218144,0.00003569843,3.707383e-7,0.0003401651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3709581,"threshold_uncertainty_score":0.7375977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03648676069691691,"score_gpt":0.2367103295490377,"score_spread":0.2002235688521208,"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."}}