{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001787356,0.0000864388,0.0001488078,0.000239978,0.0003123611,0.0004415256,0.0001980529,0.0001490474,0.0007381341],"category_scores_gemma":[0.0007382671,0.00007698972,0.0001096102,0.0001875437,0.000309752,0.0002086528,0.0003626252,0.0001801996,0.0001027249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017051,"about_ca_system_score_gemma":0.0005783359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07978532,"about_ca_topic_score_gemma":0.3302922,"domain_scores_codex":[0.9998938,0.00001448459,0.000004228189,0.00002651401,0.00001400943,0.00004691916],"domain_scores_gemma":[0.9996336,0.00004439765,0.000110334,0.00002590626,0.00006667357,0.0001190163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006397207,0.0002394139,0.966033,0.0000117463,0.00006046375,0.0004118447,0.000696747,0.0007213663,0.01685346,0.00005662574,0.00022157,0.01405403],"study_design_scores_gemma":[0.000001656791,0.00007301302,0.9987649,0.000001464557,0.00000490409,0.00003477284,0.0003054014,0.0003803217,0.0002848264,0.000009711246,0.0001369594,0.000002247518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998595,0.000007229692,0.00002246261,0.000003381238,3.308894e-7,0.000001152506,0.00001710678,9.954967e-7,0.00008784165],"genre_scores_gemma":[0.9995039,0.000008979213,0.00006527475,0.000004573763,4.219679e-7,0.000002329801,0.00005559352,0.000001368389,0.0003575243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07978532,"threshold_uncertainty_score":0.1586418,"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."}}