{"id":"W4407903940","doi":"10.3390/land14030456","title":"Legacy Vegetation and Drainage Features Influence Sediment Dynamics and Tidal Wetland Recovery After Managed Dyke Realignment","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; CB Wetlands & Environmental Specialists","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Sediment; Vegetation (pathology); Hydrology (agriculture); Drainage; Geology; Environmental science; Geomorphology; Ecology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001813118,0.0001484986,0.0001457351,0.00004866475,0.0001108926,0.0001770076,0.00007762839,0.00006989117,0.00002642247],"category_scores_gemma":[0.00001567381,0.0001291103,0.00002084966,0.0001121995,0.000071497,0.0003602722,0.0002754762,0.00009838719,0.00001473632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653437,"about_ca_system_score_gemma":0.000005957555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847301,"about_ca_topic_score_gemma":0.03889433,"domain_scores_codex":[0.9991008,0.00004081988,0.0001635769,0.000325652,0.0001615333,0.0002076272],"domain_scores_gemma":[0.999631,0.00005335321,0.00004949188,0.0001897963,0.000004621117,0.00007167511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000193931,0.000042856,0.9737906,0.0002158899,0.00003845888,0.00005311532,0.0003629357,0.001513545,0.000479107,0.0005045244,0.0001699039,0.02263507],"study_design_scores_gemma":[0.0005330538,0.00006523634,0.9886513,0.00008973366,0.00003125308,0.00001755906,0.00008830946,0.007467179,0.00003305882,0.002292502,0.0005653971,0.0001653725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861104,0.0001566609,0.0004308928,0.0003916228,0.0001050403,0.0002791253,0.00001475241,0.00002826474,0.01248317],"genre_scores_gemma":[0.9974231,0.00007466555,0.0002613003,0.0002605565,0.00001358248,0.00003009268,0.0000230577,0.000008867779,0.00190474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03704703,"threshold_uncertainty_score":0.9786434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001625895780030792,"score_gpt":0.1856244890898723,"score_spread":0.1839985933098415,"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."}}