{"id":"W4408748873","doi":"10.1029/2024jg008645","title":"Seasonally Dynamic Dissolved Carbon Cycling in a Large Hard Water Lake","year":2025,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Université de Lausanne; Université de Genève; École Polytechnique Fédérale de Lausanne; Université Savoie Mont Blanc; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Cycling; Carbon cycle; Environmental science; Carbon fibers; Dissolved organic carbon; Oceanography; Hydrology (agriculture); Ecology; Geology; Geography; Materials science; Biology; Ecosystem; Forestry; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00009713365,0.0002113857,0.0002371921,0.0005474091,0.0005598163,0.0006532917,0.0001864583,0.0002411638,0.0006197152],"category_scores_gemma":[0.0001964571,0.0001328852,0.0001000842,0.0004990836,0.0003276205,0.0002810018,0.0005321798,0.0001252859,0.00007394257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007462957,"about_ca_system_score_gemma":0.0002712891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02565408,"about_ca_topic_score_gemma":0.04004621,"domain_scores_codex":[0.9999379,0.000006673073,0.00000411985,0.00001821605,0.0000144361,0.00001867648],"domain_scores_gemma":[0.9998814,0.00001862267,0.00002776003,0.000006558522,0.00002453658,0.00004107459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002996478,0.00007148735,0.9496648,0.00003300192,0.00007335599,0.0006160839,0.001005516,0.000943126,0.04173819,0.00006572992,0.0002849754,0.005204019],"study_design_scores_gemma":[0.000005886261,0.00003004649,0.9978861,0.000001332474,0.000008715505,0.00003469522,0.000229214,0.000981177,0.0005910525,0.00001196483,0.0002153876,0.000004353115],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997502,0.000008901722,0.00001566445,0.000006457263,3.691378e-7,0.000001453116,0.00007641817,0.000003349265,0.0001371574],"genre_scores_gemma":[0.999724,0.000006970253,0.00004287515,0.000004208448,0.000001196098,0.000003908757,0.0001174981,0.000001246852,0.0000981304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02565408,"threshold_uncertainty_score":0.05100954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187917624456329,"score_gpt":0.2952213260003687,"score_spread":0.2764295635547358,"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."}}