{"id":"W4306680376","doi":"10.1002/ird.2763","title":"One hundred years of drainage development in the Holland Marsh, Canada, and implications for long‐term sustainability","year":2022,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Drainage; Marsh; Environmental science; Water quality; Sustainability; Hydrology (agriculture); Water resource management; Eutrophication; Swale; Wetland; Environmental engineering; Surface runoff; Stormwater; Engineering; Ecology; Nutrient","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001822321,0.0001047513,0.0001182128,0.00120517,0.002023142,0.001416136,0.0004762039,0.000232205,0.002456573],"category_scores_gemma":[0.0006869897,0.0001027754,0.0001587595,0.002761815,0.0009965284,0.0004609052,0.0008731043,0.0003221968,0.0001563457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02189859,"about_ca_system_score_gemma":0.02025352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979337,"about_ca_topic_score_gemma":0.995334,"domain_scores_codex":[0.9997839,0.00001224462,0.000007649815,0.00002261657,0.00006416759,0.0001094859],"domain_scores_gemma":[0.9993817,0.00002877524,0.000102612,0.00001355654,0.0002684096,0.0002049771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001545663,0.0001021486,0.9102793,0.0001459186,0.00006374876,0.001619647,0.005981445,0.0008915323,0.001741083,0.00287669,0.006170478,0.06997336],"study_design_scores_gemma":[0.000002631254,0.00001556416,0.9793026,0.00004686183,0.000009260638,0.0001172902,0.006194345,0.0003439337,0.0001109082,0.0001725568,0.01367143,0.00001266513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903222,0.001152205,0.00008594512,0.0009346723,0.000009076458,0.00001401357,0.001783488,0.00001131943,0.005687109],"genre_scores_gemma":[0.9949353,0.0007540975,0.00009014278,0.00005465455,0.00000283874,0.000006104029,0.0005490811,0.000003022076,0.003604776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02189859,"threshold_uncertainty_score":0.1588861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005980863473528,"score_gpt":0.2228475194319235,"score_spread":0.2127877107971882,"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."}}