{"id":"W2109866671","doi":"10.5539/ijb.v5n4p1","title":"Comparison of Three Methods for the Quantification of Sediment Organic Carbon in Salt Marshes of the Rubicon Estuary, Tasmania, Australia","year":2013,"lang":"en","type":"article","venue":"International Journal of Biology","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon fibers; Salt marsh; Environmental science; Total organic carbon; Loss on ignition; Wetland; Sediment; Blue carbon; Estuary; Carbon sink; Carbon sequestration; Soil carbon; Total inorganic carbon; Environmental chemistry; Carbon dioxide; Soil science; Ecology; Chemistry; Climate change; Geology; Oceanography; Soil water; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000661322,0.00006044306,0.0002002356,0.00004758362,0.00001175255,0.000004250102,0.0005415195,0.00005057855,0.0001847334],"category_scores_gemma":[0.0001066836,0.00003438431,0.00007968352,0.00007710818,0.0001274775,0.00004576768,0.0001266847,0.00008802836,0.000001956387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000893532,"about_ca_system_score_gemma":0.00001517417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002249229,"about_ca_topic_score_gemma":0.002369429,"domain_scores_codex":[0.9989549,0.0001082689,0.0006363746,0.00007376836,0.000148131,0.00007858359],"domain_scores_gemma":[0.9985993,0.000356857,0.0008226135,0.0001215824,0.0000848267,0.0000148346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005097843,0.00009420343,0.5971912,0.000008453281,0.00006419376,8.021238e-8,0.0001889885,0.00143208,0.3930957,0.0003884853,0.00005882242,0.007426846],"study_design_scores_gemma":[0.0004736337,0.0002905246,0.8757615,0.00005194117,0.00003220684,0.00001512678,0.0002302526,0.03876462,0.07971016,0.00436904,0.0002435425,0.00005743071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883665,0.00005812587,0.009824697,0.0008450956,0.0006389145,0.0002053376,0.000009642278,7.77854e-7,0.00005093059],"genre_scores_gemma":[0.9977722,0.00001340519,0.002146776,0.000009963497,0.00002642243,0.000004805145,0.000002417607,0.000003771244,0.00002028695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133855,"threshold_uncertainty_score":0.3400176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477696300411411,"score_gpt":0.3604776534901548,"score_spread":0.3157006904860407,"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."}}