{"id":"W2883125734","doi":"10.1016/j.scitotenv.2018.07.346","title":"Spatio-temporal variation of nitrate sources to Lake Winnipeg using N and O isotope (δ15N, δ18O) analyses","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"δ18O; Nitrate; Stable isotope ratio; Variation (astronomy); Environmental science; Isotope; δ15N; Physical geography; Geography; δ13C; Ecology; Biology; Physics; Nuclear physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001946301,0.0002257822,0.0001932277,0.001100414,0.0008509459,0.0009559473,0.0004263503,0.0001875431,0.00057511],"category_scores_gemma":[0.0006377721,0.0003144772,0.000229288,0.001005396,0.0003376578,0.0003871121,0.0009317669,0.0001967731,0.00006277027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004458938,"about_ca_system_score_gemma":0.002390496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8617733,"about_ca_topic_score_gemma":0.9446644,"domain_scores_codex":[0.9998707,0.000009743932,0.000008040397,0.00004297839,0.00002755511,0.00004105374],"domain_scores_gemma":[0.999822,0.00001524426,0.00004527278,0.00000462308,0.00007615257,0.00003677725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005081444,0.00002738714,0.9492698,0.00008424777,0.0002024716,0.0002868531,0.002605317,0.0008503016,0.03455822,0.0003412845,0.0004743339,0.01079159],"study_design_scores_gemma":[0.000004699672,0.000007401198,0.9975377,0.000007371584,0.00002632535,0.00001943393,0.000481559,0.0006563439,0.000563314,0.00001722715,0.0006736796,0.000004926581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984812,0.0001245269,0.000128713,0.00004037168,0.000004020326,0.00001167964,0.0003797518,0.000005212632,0.0008245124],"genre_scores_gemma":[0.9985375,0.0001175109,0.0003881439,0.00001801971,0.000001496879,0.00001336516,0.0001996901,0.000004656319,0.0007196071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382267,"threshold_uncertainty_score":0.2780814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141304964851214,"score_gpt":0.2603385009757918,"score_spread":0.2389254513272797,"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."}}