{"id":"W2135231413","doi":"10.1007/s10533-013-9834-4","title":"Variations of the nitrate isotopic composition in the St. Lawrence River caused by seasonal changes in atmospheric nitrogen inputs","year":2013,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nitrate; Isotopic signature; δ18O; Snowmelt; Nitrogen; Denitrification; Isotopes of nitrogen; Nitrification; Environmental chemistry; Stable isotope ratio; Environmental science; Hydrology (agriculture); Chemistry; Atmospheric sciences; Ecology; Geology; Surface runoff; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001335609,0.0001194337,0.0001133846,0.000005941387,0.00007262806,0.00004364018,0.0003832354,0.00009114011,0.0009469366],"category_scores_gemma":[0.00001234514,0.00007660101,0.00003876838,0.000305682,0.000125159,0.00009309917,0.00002043968,0.0001603694,0.00002251778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009294558,"about_ca_system_score_gemma":0.00004122327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004442779,"about_ca_topic_score_gemma":0.00109939,"domain_scores_codex":[0.9991426,0.00006840078,0.0001681816,0.0001835294,0.0002127996,0.0002244964],"domain_scores_gemma":[0.9995545,0.00006204256,0.00007756993,0.0002325544,0.00003551367,0.00003781272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004119282,0.0000428303,0.9529223,0.00003174129,0.000006967754,0.000001807665,0.0003106396,0.00002306851,0.04521879,0.0000035253,0.001002761,0.0004314902],"study_design_scores_gemma":[0.0003379476,0.00001767433,0.8899592,0.00004256131,0.00001017773,0.00001023015,0.0001752106,0.001497063,0.1062149,0.001155686,0.0004258906,0.000153514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970312,0.0001803135,0.000007640949,0.0009165204,0.00004487082,0.0001922247,0.000229172,0.000008600759,0.001389437],"genre_scores_gemma":[0.9991089,0.00001776455,0.00007060736,0.0002963696,0.00004001413,0.0000152111,0.0003604771,0.000002036768,0.00008861724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06296312,"threshold_uncertainty_score":0.9999663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007116225691319721,"score_gpt":0.1810131111221494,"score_spread":0.1738968854308297,"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."}}