{"id":"W2622869046","doi":"10.1002/2016gb005539","title":"No long‐term trends in <i>p</i>CO<sub>2</sub> despite increasing organic carbon concentrations in boreal lakes, streams, and rivers","year":2017,"lang":"en","type":"article","venue":"Global Biogeochemical Cycles","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sveriges Lantbruksuniversitet; Vetenskapsrådet; Naturvårdsverket; Global Lake Ecological Observatory Network; Knut och Alice Wallenbergs Stiftelse; European Commission","keywords":"Surface runoff; Dissolved organic carbon; Environmental science; Surface water; STREAMS; Hydrology (agriculture); Groundwater; Total organic carbon; Environmental chemistry; Carbon dioxide; Soil water; Boreal; Ecology; Chemistry; Soil science; Geology; Environmental engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001573801,0.0001864921,0.0002388486,0.00006339259,0.0001267313,0.0001688625,0.0002514575,0.000138482,0.00007283833],"category_scores_gemma":[0.00008026324,0.0001763481,0.00004129126,0.0001714456,0.0001772842,0.0002206604,0.00005573362,0.0001402421,0.00001925112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002783651,"about_ca_system_score_gemma":0.00004956854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04137261,"about_ca_topic_score_gemma":0.1857397,"domain_scores_codex":[0.9987358,0.00006342983,0.0002626257,0.0003536847,0.0001795632,0.000404939],"domain_scores_gemma":[0.9993865,0.00004540683,0.0001069821,0.0002456095,0.00002173751,0.0001937217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006669829,0.00002378167,0.9201153,0.00001349329,0.000007520179,0.00006184388,0.0000178561,0.000001668025,0.004670481,0.0000129783,0.00004168709,0.07496668],"study_design_scores_gemma":[0.0005961459,0.00004063931,0.992103,0.00005569084,0.00001100942,0.00002304152,0.00002232032,0.0008158412,0.005780251,0.0002308204,0.0001115893,0.0002096895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766505,0.0003328192,4.121789e-7,0.00008987948,0.00008417771,0.00009038613,0.000636099,0.00002612051,0.02208962],"genre_scores_gemma":[0.9988629,0.0001996157,0.00002497767,0.00004409459,0.00008012123,0.000001180774,0.0007800916,0.000002863066,0.000004103928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.144367,"threshold_uncertainty_score":0.965011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007952975104684434,"score_gpt":0.2150984673263069,"score_spread":0.2071454922216224,"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."}}