{"id":"W2779491049","doi":"10.1016/j.chemosphere.2017.12.109","title":"Quantitative model of carbon and nitrogen isotope composition to highlight phosphorus cycling and sources in coastal sediments (Toulon Bay, France)","year":2017,"lang":"en","type":"article","venue":"Chemosphere","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"U.S. Geological Survey; Métropole Toulon-Provence-Méditerranée; Agence de l'Eau Rhône Méditerranée Corse; Trent University","keywords":"Sediment; Bay; Environmental science; Biogeochemical cycle; Phosphorus; Cycling; Environmental chemistry; Nutrient; Biogeochemistry; Population; Diagenesis; Oceanography; Mediterranean sea; Mediterranean climate; Nutrient cycle; Geology; Ecology; Geochemistry; Chemistry; Geomorphology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796044,0.0005958237,0.0004244033,0.0004233218,0.0003484637,0.0008041223,0.0008987606,0.0009181473,0.001098766],"category_scores_gemma":[0.000954608,0.0003398492,0.000510536,0.0002841644,0.000474438,0.0003817467,0.0004099254,0.0004071512,0.000125533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261571,"about_ca_system_score_gemma":0.001260699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07375475,"about_ca_topic_score_gemma":0.03626183,"domain_scores_codex":[0.9999207,0.00002797107,0.000003417183,0.00002261223,0.00001019518,0.00001494184],"domain_scores_gemma":[0.9996938,0.0001699498,0.00003232553,0.00001539048,0.00006485098,0.00002385061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000126325,0.00001385645,0.0009071567,0.00000918137,0.00001255904,0.00002015381,0.000007680194,0.9963183,0.0008298412,0.001180975,0.0001045642,0.0005829771],"study_design_scores_gemma":[0.000005629592,0.000004346993,0.0003261662,7.728994e-7,0.000002828011,0.000002490974,0.000002442476,0.9992901,0.00006735147,0.0002452311,0.00005086468,0.000001697918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8003776,0.0004091877,0.1852423,0.0008820087,0.00006721188,0.00007595214,0.001202707,0.0007123978,0.01103074],"genre_scores_gemma":[0.9895468,0.00008961772,0.006344629,0.00004887813,0.00001375093,0.0000655753,0.0002476396,0.00004589766,0.003597116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07375475,"threshold_uncertainty_score":0.1466509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102241494060646,"score_gpt":0.2462716221498963,"score_spread":0.2352492072092898,"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."}}