{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003499451,0.00004570846,0.00007197502,0.00002346813,0.0001886125,0.00001575668,0.0001011729,0.00001467611,0.000009915377],"category_scores_gemma":[0.00002655906,0.00004907705,0.00001070847,0.000138965,0.00009277754,0.00004829618,0.0001140505,0.00004767724,1.518871e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345482,"about_ca_system_score_gemma":0.00004944323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01673337,"about_ca_topic_score_gemma":0.06901869,"domain_scores_codex":[0.9993985,0.00004874298,0.0001428686,0.0001563651,0.000129968,0.0001235899],"domain_scores_gemma":[0.9997165,0.0000719717,0.00005052049,0.0001208946,0.000008436413,0.00003169457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000476547,0.0001561344,0.8836362,0.00007525094,0.000008654677,0.000004140934,0.007364643,0.0001735659,0.0001508985,0.01751123,0.00006374299,0.0908079],"study_design_scores_gemma":[0.0003393668,0.00002522053,0.9028731,0.000001538247,0.000004007706,0.000002360024,0.0004127916,0.0001205804,0.00001089336,0.09527953,0.000872628,0.00005798289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958958,0.00001291144,0.0002047307,0.001835689,0.00001605479,0.0004622019,0.00002753383,0.000004790632,0.001540277],"genre_scores_gemma":[0.9993256,7.08233e-7,0.0001690847,0.0002432731,0.000003499659,0.0001233684,0.00005383149,0.000003962195,0.00007667646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09074991,"threshold_uncertainty_score":0.9898143,"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."}}