{"id":"W2588843850","doi":"10.3389/fmars.2017.00038","title":"Flux of Dissolved and Particulate Low-Temperature Pyrogenic Carbon from Two High-Latitude Rivers across the Spring Freshet Hydrograph","year":2017,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; Seventh Framework Programme; Office for Science and Technology of the Embassy of France in the United States; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Particulates; Environmental science; Arctic; Spring (device); Levoglucosan; Hydrology (agriculture); Oceanography; Geology; Ecology; Geography; Aerosol","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022586,0.0001916992,0.0002727562,0.00004876081,0.0005970808,0.0002342629,0.001358134,0.00005712806,0.00003154734],"category_scores_gemma":[0.0001855579,0.0001438622,0.00005325274,0.0003601705,0.002630274,0.0005550904,0.001607342,0.0002212987,0.000006254292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351426,"about_ca_system_score_gemma":0.00001797566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0155661,"about_ca_topic_score_gemma":0.003814775,"domain_scores_codex":[0.9979826,0.00006489178,0.0002590453,0.0006066057,0.0005535405,0.0005333613],"domain_scores_gemma":[0.9985514,0.00004558893,0.0002279847,0.001027,0.00001204804,0.0001360356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001642832,0.00001863965,0.9393758,0.000006918222,0.00001062596,0.00001141783,0.0003752414,0.001713618,0.05372597,0.00001205754,0.00003345595,0.004699848],"study_design_scores_gemma":[0.0005815858,0.00002622026,0.9475288,0.0000431039,0.0000115001,0.000001314781,0.00007425019,0.02742588,0.02346745,0.0006107598,0.00005603454,0.000173042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982064,0.00004781091,0.00002163459,0.0001327766,0.0009339422,0.0003650235,0.00001102359,0.00002059515,0.0002607856],"genre_scores_gemma":[0.9933524,0.00002434934,0.006486048,0.00002004994,0.00003468902,0.0000174689,0.000001754,0.0000119864,0.0000512392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03025853,"threshold_uncertainty_score":0.9909893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003207388464916679,"score_gpt":0.213681705374331,"score_spread":0.2104743169094143,"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."}}