{"id":"W4416344616","doi":"10.3389/fmars.2025.1681794","title":"Spatial and temporal variability in blue carbon accumulation in the largest salt marsh in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bay; Salt marsh; Marsh; Blue carbon; Intertidal zone; Total organic carbon; Hydrology (agriculture); Spatial variability","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":[0.0003410831,0.0004053502,0.0004014125,0.001899476,0.00191484,0.001426767,0.0009455227,0.0003968494,0.002073158],"category_scores_gemma":[0.001108991,0.0003350105,0.0002704536,0.003909006,0.0007510307,0.0003489837,0.0007926392,0.0004571069,0.0003601323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01391445,"about_ca_system_score_gemma":0.01018099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941175,"about_ca_topic_score_gemma":0.9982648,"domain_scores_codex":[0.9995993,0.00002169914,0.00002584743,0.0001091257,0.0001080641,0.0001359497],"domain_scores_gemma":[0.9975945,0.0001740592,0.0002711083,0.00008419691,0.00135273,0.0005233311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006496685,0.0000202189,0.9902052,0.00002120738,0.0000489001,0.00008348141,0.0007056926,0.0001397888,0.001083991,0.00004339339,0.001586056,0.005997249],"study_design_scores_gemma":[0.0000016725,0.000002721306,0.9987269,0.000009171147,0.000006362606,0.0000127663,0.0005939618,0.0001316972,0.00003220443,0.000004117358,0.0004739061,0.000004516361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943873,0.0002955939,0.00008278107,0.0001217643,0.000008952881,0.00001547983,0.003323214,0.0000211672,0.001743775],"genre_scores_gemma":[0.9957943,0.0002250997,0.0001544075,0.00005214282,0.000002912534,0.00001904098,0.001896594,0.000009724552,0.001845639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01391445,"threshold_uncertainty_score":0.1009568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003544137921162716,"score_gpt":0.1954979165749501,"score_spread":0.1919537786537874,"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."}}