{"id":"W4407136537","doi":"10.1139/facets-2024-0044","title":"Drivers of high rates of carbon burial in a riverine-influenced freshwater marsh in the Long Point Walsingham Priority Place of southern Ontario","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Geological Survey of Canada; Natural Resources Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Marsh; Geography; Environmental science; Ecology; Wetland; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001467345,0.0001138387,0.0001484294,0.0005810063,0.001222774,0.000908655,0.0004285903,0.0002216948,0.001071068],"category_scores_gemma":[0.0007019797,0.0002262848,0.0001046566,0.0009750688,0.0008338009,0.0002737587,0.0006339913,0.0001918578,0.00008470581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007375308,"about_ca_system_score_gemma":0.005349369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465958,"about_ca_topic_score_gemma":0.989883,"domain_scores_codex":[0.9998432,0.00001026866,0.000008298129,0.00004760584,0.00003420118,0.00005634033],"domain_scores_gemma":[0.9994926,0.00004590591,0.0001588102,0.00001874098,0.0001632486,0.0001206326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003288337,0.000009967227,0.9884803,0.00002145536,0.00002476596,0.000167791,0.003450391,0.0002244063,0.004090304,0.0001474644,0.0001908928,0.003159388],"study_design_scores_gemma":[8.345673e-7,0.000003245262,0.9983408,0.000002784782,0.000003003925,0.00001434164,0.001157989,0.0001212226,0.00006313189,0.00001291005,0.000277159,0.000002416937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992951,0.00002930783,0.00003624584,0.00003544854,6.510683e-7,0.000003136674,0.0001498098,0.000002471437,0.0004477496],"genre_scores_gemma":[0.9993923,0.00003198004,0.0000581409,0.000006380667,6.586844e-7,0.000002667153,0.00007457961,0.000001645993,0.0004315962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05340421,"threshold_uncertainty_score":0.1074374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071820576094137,"score_gpt":0.2428650349486459,"score_spread":0.2321468291877045,"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."}}