{"id":"W4386012473","doi":"10.1007/s00027-023-00990-8","title":"Spatial variability in dissolved organic matter quantity and composition in Midwest reservoirs, USA","year":2023,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Department of Natural Resources","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Environmental science; Hydrology (agriculture); Environmental chemistry; Watershed; Total organic carbon; Eutrophication; Nutrient; Chemistry; Geology; Phytoplankton","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002253773,0.00008271327,0.0001496616,0.0001646687,0.000123423,0.0001035883,0.0002015426,0.00003716544,0.001617866],"category_scores_gemma":[0.0001264192,0.00006592886,0.00001418114,0.00104737,0.000165129,0.000303389,0.00003983865,0.00008283932,0.0005550758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000532507,"about_ca_system_score_gemma":0.00004944267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1003567,"about_ca_topic_score_gemma":0.5148848,"domain_scores_codex":[0.9986646,0.0002416549,0.0002546872,0.0003096347,0.0002606435,0.0002688047],"domain_scores_gemma":[0.9993075,0.0004605312,0.00004858257,0.0001191375,0.000007433601,0.00005682838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007319671,0.00001193614,0.9972141,0.00001988073,9.047557e-7,0.000006789222,0.0001666524,0.0001617679,0.00008780449,0.00003248731,0.00004081974,0.002249483],"study_design_scores_gemma":[0.0001193492,0.00005044742,0.8810506,0.00002581502,0.000001673161,0.000002950576,0.0001551174,0.1166561,0.00003275403,0.001805649,0.00001739702,0.00008212862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957612,0.00001944133,0.00006744915,0.0006101411,0.0001658909,0.0001574069,0.000008297256,0.00001541271,0.003194723],"genre_scores_gemma":[0.9997234,0.00001399253,0.00007415521,0.00007493453,0.00002394152,0.000001908651,0.00002489115,0.000001148487,0.00006160543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4145281,"threshold_uncertainty_score":0.9992948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246916385308048,"score_gpt":0.2381965174669304,"score_spread":0.21572735361385,"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."}}