{"id":"W3025531321","doi":"10.1016/j.geoderma.2020.114422","title":"Increased silicon concentration in fen peat leads to a release of iron and phosphate and changes in the composition of dissolved organic matter","year":2020,"lang":"en","type":"article","venue":"Geoderma","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Peat; Dissolved organic carbon; Chemistry; Dissolution; Phosphate; Composition (language); Environmental chemistry; Organic matter; Phosphorus; Silicon; Total organic carbon; Iron phosphate; Soil organic matter; Carbon fibers; X-ray absorption spectroscopy; Inorganic chemistry; Soil water; Geology; Organic chemistry; Soil science; Absorption spectroscopy; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0000799536,0.00005167328,0.00010565,0.00001122697,0.00001537828,0.00000546737,0.00004924271,0.00002728409,0.0001627469],"category_scores_gemma":[0.000007503364,0.00003936357,0.000005915461,0.00008831626,0.00005390239,0.0000457099,0.0000453197,0.0000382181,0.000005288562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303562,"about_ca_system_score_gemma":0.000002210607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005124423,"about_ca_topic_score_gemma":0.001350775,"domain_scores_codex":[0.999567,0.00005554413,0.0001066009,0.000117558,0.00006012688,0.00009319351],"domain_scores_gemma":[0.9998407,0.00003109961,0.00003705367,0.00005307863,0.000001996344,0.00003600578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006995707,0.00002347229,0.7607574,0.00001655546,7.057699e-7,0.000003376731,0.002229018,0.00003199092,0.2364849,0.000002950268,0.00008963133,0.0002900707],"study_design_scores_gemma":[0.0006137419,0.0001191266,0.9816911,0.00001178723,0.000005406942,0.000003175491,0.0001220075,0.001527915,0.01581965,0.00001629847,0.00002484337,0.00004497908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951004,0.00003895027,0.000009844795,0.004527101,0.000004695752,0.0001781332,0.000006523182,0.000002213392,0.000132132],"genre_scores_gemma":[0.9984304,0.00003690837,0.00001633985,0.001480133,0.000005804062,0.000007066717,0.00001757548,0.00000266694,0.000003098085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209337,"threshold_uncertainty_score":0.1781965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00737689531818402,"score_gpt":0.2033695150785808,"score_spread":0.1959926197603968,"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."}}