{"id":"W2164019794","doi":"10.1007/s00027-009-9133-2","title":"Effects of macrophytes and terrestrial inputs on fluorescent dissolved organic matter in a large river system","year":2009,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrophyte; Dissolved organic carbon; Environmental science; Tributary; Organic matter; Aquatic plant; Environmental chemistry; Aquatic ecosystem; Ecosystem; Hydrology (agriculture); Sedimentary organic matter; Total organic carbon; Ecology; Chemistry; Geology; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003619247,0.0001050784,0.0002031408,0.0001188855,0.000082802,0.00005235932,0.0001860617,0.00003257422,0.0001156956],"category_scores_gemma":[0.00005100623,0.00007155378,0.00002511847,0.0003445168,0.00009605931,0.0001254268,0.0000137685,0.00005565844,0.0001039105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004238809,"about_ca_system_score_gemma":0.00003135752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018448,"about_ca_topic_score_gemma":0.002114119,"domain_scores_codex":[0.9988925,0.00009064409,0.0002296279,0.0002412555,0.0002920429,0.0002538803],"domain_scores_gemma":[0.9995331,0.0002166498,0.00008648316,0.00009376836,0.000004973942,0.00006509315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006425244,0.00007232301,0.9817986,0.0001430579,0.000006195174,0.00003416025,0.0006219147,0.00003534184,0.0008245133,0.0001514813,0.0001127523,0.01613542],"study_design_scores_gemma":[0.0006892419,0.0006576017,0.9791355,0.0002737582,0.000009242889,0.000006856905,0.0001639655,0.01686613,0.00167997,0.0003417534,0.00004001719,0.0001360308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969536,0.0001586284,0.00002570587,0.0001594064,0.0002286626,0.0002379108,0.000004429432,0.00001172111,0.002219921],"genre_scores_gemma":[0.9996668,0.00001006816,0.00007274459,0.0001627887,0.00004875985,8.869044e-7,0.000002758841,0.000001123811,0.00003403257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683079,"threshold_uncertainty_score":0.2917878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005890422127615932,"score_gpt":0.1957386460226532,"score_spread":0.1898482238950372,"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."}}