{"id":"W2096749565","doi":"10.1139/f2012-046","title":"Salt marsh connectivity and freshwater versus saltwater inflow: multiple methods including tidal gauges, water isotopes, and LIDAR elevation models<sup>1</sup>This article is derived from a special session entitled “A New Hydrology: Inflow Effects on Ecosystem Form and Functioning” that took place at the February 2011 ASLO Aquatic Sciences conference in San Juan, Puerto Rico.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Salt marsh; Wetland; Hydrology (agriculture); Environmental science; Elevation (ballistics); Marsh; Salinity; Water level; Estuary; Habitat; Freshwater inflow; Saltwater intrusion; Groundwater; Ecology; Oceanography; Geology; Geography; Aquifer; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003229654,0.0007698433,0.0005290421,0.001647871,0.0006528287,0.001544798,0.0006883836,0.0004331434,0.001190549],"category_scores_gemma":[0.007812995,0.000415387,0.0008769651,0.002090423,0.0003598975,0.001155182,0.001154856,0.0005631896,0.0003349581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314681,"about_ca_system_score_gemma":0.0004609261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01719904,"about_ca_topic_score_gemma":0.05326128,"domain_scores_codex":[0.9985744,0.0008153243,0.00007719607,0.0003139237,0.000152024,0.00006722812],"domain_scores_gemma":[0.9940777,0.003913612,0.0009190317,0.0003852847,0.0004975462,0.0002068611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001429294,0.00007831412,0.9523811,0.00003595083,0.0007601051,0.0001012343,0.0002269704,0.007118291,0.001806576,0.0002360909,0.000550626,0.03656186],"study_design_scores_gemma":[0.00003334672,0.0001915576,0.7822686,0.00005073283,0.000462721,0.0001421794,0.0008836073,0.2119448,0.00139998,0.0008662598,0.001677061,0.00007924034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612528,0.0003933201,0.0352519,0.0002210121,0.00003836463,0.00006937006,0.0008359472,0.0002278915,0.001709513],"genre_scores_gemma":[0.9753049,0.0001407876,0.02286039,0.00003879209,0.00003407755,0.00006810243,0.001027028,0.00007078656,0.000455143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719904,"threshold_uncertainty_score":0.03419787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03066975861986926,"score_gpt":0.234100723684299,"score_spread":0.2034309650644298,"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."}}