{"id":"W2273444379","doi":"10.1038/ncomms9708","title":"A dual-isotope approach to allow conclusive partitioning between three sources","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Towards Sustainability Foundation; U.S. Department of Agriculture; National Science Foundation; David R. Atkinson Center for a Sustainable Future , Cornell University; National Institute of Food and Agriculture","keywords":"Biogeochemical cycle; Mineralization (soil science); Isotope; Stable isotope ratio; Environmental science; Earth science; Isotopes of carbon; Environmental chemistry; Organic matter; Chemistry; Soil science; Soil water; Total organic carbon; Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297791,0.001406567,0.001054715,0.001557138,0.0008952121,0.001270852,0.001294293,0.001775822,0.003167662],"category_scores_gemma":[0.001629506,0.001085261,0.0007607337,0.000929815,0.001222785,0.001375274,0.00270677,0.002831568,0.00119878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510665,"about_ca_system_score_gemma":0.001068275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787604,"about_ca_topic_score_gemma":0.004870751,"domain_scores_codex":[0.998733,0.0001320995,0.00005479194,0.0006418742,0.0003215297,0.0001167479],"domain_scores_gemma":[0.9991233,0.0002430859,0.0001013201,0.0002331629,0.000213216,0.00008593222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001641266,0.00005931475,0.001113771,0.00008300591,0.0000429915,0.00003263604,0.00004903555,0.0003587341,0.9865549,0.001038085,0.0001234918,0.01037992],"study_design_scores_gemma":[0.00009079547,0.000403869,0.01020151,0.00003287218,0.0001439044,0.0005568977,0.00008993412,0.03159546,0.9342347,0.006333089,0.01618506,0.0001319828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1849341,0.001648671,0.8041577,0.0004542563,0.0003903959,0.000409414,0.001092203,0.001101817,0.005811512],"genre_scores_gemma":[0.2276749,0.0008056412,0.7635058,0.0004272467,0.00006592553,0.000798006,0.0007006933,0.0005041783,0.005517614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003167662,"threshold_uncertainty_score":0.01059687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932883806204724,"score_gpt":0.2984382595397159,"score_spread":0.2591094214776686,"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."}}