{"id":"W1994829126","doi":"10.1016/j.jmarsys.2014.05.017","title":"Source and distribution of organic matter in sediments in the SE Brazilian continental shelf influenced by river discharges: An approach using stable isotopes and molecular markers","year":2014,"lang":"en","type":"article","venue":"Journal of Marine Systems","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Estuary; Organic matter; Continental shelf; Oceanography; δ13C; Environmental science; Nutrient; Isotope analysis; δ15N; Wet season; Geology; Stable isotope ratio; Environmental chemistry; Hydrology (agriculture); Ecology; Chemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002387984,0.0002172029,0.0002563784,0.001156598,0.0004281462,0.0006129941,0.0002288924,0.0002377357,0.0003851536],"category_scores_gemma":[0.0006837838,0.0002239284,0.0002310654,0.001628016,0.0004559392,0.0002406812,0.000512969,0.0001528999,0.00007493264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006042295,"about_ca_system_score_gemma":0.0005977129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07253211,"about_ca_topic_score_gemma":0.1398283,"domain_scores_codex":[0.9998723,0.0000164655,0.00001744645,0.00004126322,0.00003227354,0.00002024158],"domain_scores_gemma":[0.9996363,0.00006749108,0.0001353477,0.00002237631,0.0001089157,0.00002956847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005572232,0.00001590021,0.9782849,0.00003963933,0.0000753716,0.00008708681,0.001008632,0.0001695788,0.01379649,0.000206214,0.00003677921,0.006223794],"study_design_scores_gemma":[0.000001409851,0.00001063921,0.9985785,0.000007496969,0.0000210367,0.00003729163,0.0003898352,0.0001968566,0.0004017106,0.00003336201,0.0003193443,0.000002387107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991637,0.0001272353,0.0001022645,0.00001857094,0.00000164203,0.000001924271,0.0001526186,0.000001971095,0.0004300376],"genre_scores_gemma":[0.9994264,0.0001457037,0.0001544475,0.000007916519,0.000002129947,0.00000286082,0.0001236486,0.000002557167,0.000134413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07253211,"threshold_uncertainty_score":0.1442199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005209804175938302,"score_gpt":0.190790528669499,"score_spread":0.1855807244935607,"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."}}