{"id":"W3043249414","doi":"10.1029/2019gb006495","title":"Delineating the Continuum of Dissolved Organic Matter in Temperate River Networks","year":2020,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Dissolved organic carbon; Biogeochemical cycle; Environmental science; Hydrology (agriculture); Aquatic ecosystem; Temperate climate; Ecology; Drainage basin; Ecosystem; Geology; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004081595,0.00007619601,0.0001565663,0.001088888,0.0003089516,0.0006331149,0.0001786566,0.0001875317,0.0004147502],"category_scores_gemma":[0.0008199602,0.00008884713,0.0001354211,0.0006847826,0.0004648283,0.0005177606,0.0005841074,0.0001136175,0.00004276427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321783,"about_ca_system_score_gemma":0.0001934881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572247,"about_ca_topic_score_gemma":0.007535153,"domain_scores_codex":[0.9998755,0.00002931126,0.000009486055,0.00004706171,0.0000149647,0.000023551],"domain_scores_gemma":[0.999559,0.0001207938,0.0001391055,0.00003163183,0.00008442605,0.00006502864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001245205,0.00003015092,0.9633372,0.0000312395,0.0000355587,0.0001331115,0.0008663008,0.002896997,0.02287787,0.001129065,0.0000964166,0.00844141],"study_design_scores_gemma":[0.000002263169,0.00002928575,0.9887272,0.000008173958,0.000008860521,0.00004622841,0.00067493,0.008643814,0.000818125,0.0006402312,0.0003946788,0.000006090577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983566,0.00005626305,0.001082345,0.00001574762,7.098519e-7,0.000002721711,0.00008556889,0.00000634273,0.0003936954],"genre_scores_gemma":[0.9993926,0.00001970801,0.000453642,0.000003907465,0.000001244592,0.00000276522,0.00008617881,9.06879e-7,0.00003913416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004572247,"threshold_uncertainty_score":0.009091258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008542964684608703,"score_gpt":0.1935654678328859,"score_spread":0.1850225031482772,"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."}}