{"id":"W4412930614","doi":"10.1038/s41561-025-01739-8","title":"Contribution of lake littoral zones to the continental carbon budget","year":2025,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Uppsala Universitet; Vetenskapsrådet; Horizon 2020 Framework Programme; Knut och Alice Wallenbergs Stiftelse; Svenska Forskningsrådet Formas; European Commission","keywords":"Littoral zone; Pelagic zone; Sink (geography); Carbon sink; Environmental science; Carbon cycle; Oceanography; Wetland; Hydrology (agriculture); Climate change; Geology; Ecology; Ecosystem; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004029696,0.00007606432,0.0001199026,0.00006508538,0.0001132793,0.00003989512,0.0003560457,0.0001107217,0.00009130513],"category_scores_gemma":[0.0002050406,0.00004671486,0.0000363359,0.000653249,0.00006776753,0.00006992334,0.00003799706,0.0002475584,0.00001419494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002633344,"about_ca_system_score_gemma":0.00006222188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003825901,"about_ca_topic_score_gemma":0.08275764,"domain_scores_codex":[0.9991582,0.00004124455,0.0001506354,0.0001901993,0.0002526635,0.0002070392],"domain_scores_gemma":[0.9995506,0.00007438366,0.00005142669,0.0001707327,0.0001031552,0.0000497031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004567525,0.00001389521,0.9827317,0.00001530247,0.000005868154,0.000002926884,0.00006556712,0.0001386745,0.0001170301,0.002194705,0.002563911,0.01210477],"study_design_scores_gemma":[0.0001337748,0.00007788809,0.8681912,0.00002704907,0.000006707997,0.000004082242,0.00008045273,0.004384642,0.0002278334,0.0002165322,0.1265736,0.00007624833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787613,0.0006276027,0.0001894379,0.004310627,0.001685885,0.0002589427,0.0001321506,0.00002272972,0.01401136],"genre_scores_gemma":[0.9974974,0.00000683446,0.00005956046,0.0008619622,0.000074708,0.000001406379,0.00003105057,6.045499e-7,0.001466472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1240097,"threshold_uncertainty_score":0.9339796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002783973315807326,"score_gpt":0.2048669310799874,"score_spread":0.2020829577641801,"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."}}