{"id":"W1978186700","doi":"10.1007/s10661-005-9146-9","title":"Isotopic Composition as a Tool for Assessment of Origin and Dynamic of Organic Matter in Tropical Freshwater","year":2006,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Organic matter; Dry season; Environmental science; Environmental chemistry; Sediment; δ15N; Nitrate; Tributary; Total organic carbon; Isotopes of nitrogen; Particulates; δ13C; Wet season; Hydrology (agriculture); Nutrient; Nitrogen; Stable isotope ratio; Ecology; Chemistry; Geology; Biology; 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":[0.000114485,0.0001286804,0.0002384463,0.00004896344,0.00005078265,0.00001140613,0.00007663999,0.0000601489,0.0004637535],"category_scores_gemma":[0.000001048458,0.0001211685,0.00003825831,0.00004636417,0.0001598087,0.00009860862,0.0001375995,0.00009730372,0.000006019711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002959282,"about_ca_system_score_gemma":0.000005718192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001304896,"about_ca_topic_score_gemma":0.00005036816,"domain_scores_codex":[0.9989705,0.00005327116,0.0003358454,0.0002732844,0.0001823514,0.0001847538],"domain_scores_gemma":[0.9996673,0.00005642922,0.0001090741,0.0001381462,0.00000134182,0.00002765564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006865635,0.0001944327,0.8238682,0.00001586274,0.00001120615,0.000001942228,0.00002819815,0.0001872828,0.1751471,0.00004208687,0.00001036618,0.0004865152],"study_design_scores_gemma":[0.0006714686,0.0001785093,0.988211,0.00001907547,0.00003128623,0.000005884337,0.00007902204,0.001429787,0.00872432,0.0003582545,0.0001750316,0.0001163033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983638,0.00002973591,0.000854286,0.00009641596,0.00006932599,0.0002868908,0.00001191471,0.000004292223,0.0002833688],"genre_scores_gemma":[0.9870188,0.00004251292,0.01263206,0.00001355148,0.0000234395,0.00005818257,0.00001579967,0.00001174635,0.0001838577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1664228,"threshold_uncertainty_score":0.5077776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005392237458211479,"score_gpt":0.2642852782424646,"score_spread":0.2588930407842531,"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."}}