{"id":"W4413036623","doi":"10.1029/2025eo250292","title":"Arctic Rivers Trade Inorganic Nitrogen for Organic","year":2025,"lang":"en","type":"article","venue":"Eos","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Nitrogen; The arctic; Environmental science; Oceanography; Chemistry; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004895123,0.0000723308,0.0000690977,0.00002030435,0.0000842085,0.00001296323,0.0001659991,0.00003875998,0.0001804261],"category_scores_gemma":[0.000020415,0.0000660878,0.00004397836,0.0001869837,0.00005272832,0.00006183367,0.00007020937,0.00004825319,0.0001935763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399391,"about_ca_system_score_gemma":0.000007755514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004130902,"about_ca_topic_score_gemma":0.00001511564,"domain_scores_codex":[0.9994824,0.00001041081,0.00008460094,0.0001694708,0.00007727893,0.0001758326],"domain_scores_gemma":[0.9997768,0.00003016629,0.00001273641,0.0001398983,0.000001813287,0.00003861044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001605682,0.00005423251,0.9886917,0.00001583834,0.00001832106,0.000001542822,0.0002261218,0.00002726817,0.002800052,0.0002513716,0.003548679,0.00434877],"study_design_scores_gemma":[0.003840525,0.0002909332,0.4833044,0.00006340573,0.0002443145,0.00001593258,0.0004592218,0.006914756,0.04503435,0.3486323,0.110275,0.0009248412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949414,0.0000196067,0.001853014,0.0008976916,0.0002090814,0.0002252823,0.000006480515,0.00005177713,0.001795628],"genre_scores_gemma":[0.9983219,0.000007314042,0.0004771031,0.0005139646,0.00001966744,0.00001522137,0.000008350477,0.000008160891,0.0006283496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5053874,"threshold_uncertainty_score":0.2694982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004778487246313392,"score_gpt":0.199260955101411,"score_spread":0.1944824678550977,"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."}}