{"id":"W2139429342","doi":"10.1007/s10933-014-9802-6","title":"Defining drivers of nitrogen stable isotopes (δ15N) of surface sediments in temperate lakes","year":2014,"lang":"en","type":"article","venue":"Journal of Paleolimnology","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; GDG Environnement","funders":"","keywords":"Sediment; δ15N; Context (archaeology); Eutrophication; Sedimentary rock; Isotopes of nitrogen; Watershed; Stable isotope ratio; Geology; δ13C; Environmental science; Physical geography; Ecology; Nitrogen; Geochemistry; Geography; Chemistry; Biology; Geomorphology; Paleontology; Nutrient","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0006415295,0.0002836369,0.0002441853,0.000858213,0.0005858453,0.00118357,0.000307064,0.0004116002,0.0006248144],"category_scores_gemma":[0.001299359,0.0004121507,0.000264855,0.0006593871,0.0007838293,0.0008094223,0.001043883,0.0002138341,0.00008507559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009018084,"about_ca_system_score_gemma":0.0006130826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219209,"about_ca_topic_score_gemma":0.04152932,"domain_scores_codex":[0.9997694,0.00004890754,0.00001780646,0.00008172861,0.00002495581,0.00005725903],"domain_scores_gemma":[0.999331,0.0001883481,0.0002287083,0.00003452587,0.0001172373,0.0001002548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001308443,0.00002271403,0.9809026,0.00001753503,0.00007414584,0.00007388918,0.0009129675,0.0004551414,0.01472374,0.000440561,0.000063743,0.002182235],"study_design_scores_gemma":[0.000002041469,0.00001184301,0.9982175,0.000002813447,0.00001136795,0.00001479452,0.000421563,0.0007171075,0.0003691837,0.000131806,0.00009549504,0.000004407362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995839,0.00004461437,0.00007621581,0.00001725584,7.823041e-7,0.000001628625,0.00003574051,0.000001980429,0.0002377449],"genre_scores_gemma":[0.9998305,0.00002489688,0.00003271301,0.000006100377,0.000001346157,0.00000174467,0.00003661399,0.00000229766,0.00006382336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0219209,"threshold_uncertainty_score":0.04358661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005762211566148551,"score_gpt":0.2220332781283564,"score_spread":0.2162710665622078,"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."}}