{"id":"W3005489648","doi":"10.1002/lno.11417","title":"Hydrologic connectivity determines dissolved organic matter biogeochemistry in northern high‐latitude lakes","year":2020,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Biogeochemistry; Environmental science; Lake ecosystem; Ecosystem; Environmental chemistry; Organic matter; Hydrology (agriculture); Ecology; Atmospheric sciences; Geology; Chemistry; Nutrient; Phytoplankton; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008869187,0.00009483664,0.0001558606,0.0003407872,0.0004314618,0.0005794847,0.0001188046,0.000192644,0.000613816],"category_scores_gemma":[0.0003021136,0.0001506177,0.00009763344,0.0003910297,0.0003401153,0.0003244807,0.0003856279,0.00009741183,0.00004800265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005152308,"about_ca_system_score_gemma":0.0003400955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03261626,"about_ca_topic_score_gemma":0.06824512,"domain_scores_codex":[0.9999475,0.000008502965,0.000003949493,0.00001732008,0.000008609612,0.00001412164],"domain_scores_gemma":[0.9998203,0.00003161087,0.00006915368,0.000006337815,0.00002825754,0.00004435701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007183183,0.00001621899,0.9802297,0.00001227341,0.00003288958,0.00007330309,0.0004269593,0.0003652186,0.01731511,0.00005247566,0.00003526542,0.001368673],"study_design_scores_gemma":[0.000001103693,0.0000076268,0.9990734,0.000001122383,0.000005496338,0.00001439822,0.0002670162,0.0003945947,0.0001817367,0.00001576265,0.00003642309,0.000001351407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998709,0.00001317927,0.00001463133,0.000004598005,1.580283e-7,4.756544e-7,0.00001972352,0.000001143021,0.00007516683],"genre_scores_gemma":[0.9998943,0.00001060558,0.00002512275,0.000002718398,4.247378e-7,7.425948e-7,0.00002830338,4.475732e-7,0.00003729147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03261626,"threshold_uncertainty_score":0.06485283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006527017169809845,"score_gpt":0.1679334705124181,"score_spread":0.1614064533426083,"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."}}