{"id":"W2290157384","doi":"10.3389/fmars.2016.00007","title":"Predicting Dissolved Lignin Phenol Concentrations in the Coastal Ocean from Chromophoric Dissolved Organic Matter (CDOM) Absorption Coefficients","year":2016,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut national des sciences de l'Univers; Government of Canada; National Oceanic and Atmospheric Administration; Japan Agency for Marine-Earth Science and Technology; Office of Naval Research; Centre National de la Recherche Scientifique; Ministry of Education, Culture, Sports, Science and Technology; Centre National d’Etudes Spatiales; National Science Foundation; European Space Agency; National Aeronautics and Space Administration; Agence Nationale de la Recherche","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Lignin; Terrigenous sediment; Environmental chemistry; Spectral slope; Environmental science; Organic matter; Absorption (acoustics); Chemistry; Oceanography; Nutrient; Sediment; Geology; Phytoplankton","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009268847,0.0001937449,0.0002241396,0.000204867,0.0002648056,0.000184308,0.0008693074,0.00005556864,0.001095524],"category_scores_gemma":[0.0001397245,0.000118503,0.00004156779,0.001261991,0.0003626983,0.0006292695,0.0001381143,0.0001770739,0.0001288011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003579898,"about_ca_system_score_gemma":0.0001375138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004191808,"about_ca_topic_score_gemma":0.0125338,"domain_scores_codex":[0.9976389,0.0001383121,0.0004306883,0.0005623618,0.000619409,0.0006103073],"domain_scores_gemma":[0.9991714,0.0001445347,0.0001390967,0.0003697741,0.00005032285,0.0001248742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002269121,0.00003935166,0.9872406,0.000005346944,0.000003700547,0.00001126426,0.0004905964,0.00007050138,0.001129555,0.000009895109,0.0007423515,0.01023421],"study_design_scores_gemma":[0.0006435819,0.00006147871,0.9832875,0.00005618826,0.000007658645,0.000005546467,0.00144296,0.01293947,0.0003989349,0.0007080115,0.0002470221,0.0002016841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899303,0.00002492743,0.001526069,0.0004020795,0.001200803,0.0004018656,0.000113299,0.00003138825,0.006369323],"genre_scores_gemma":[0.998475,0.00002651804,0.000714049,0.0001214936,0.0001188247,0.000004289785,0.00008622249,0.000005662127,0.0004479986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286897,"threshold_uncertainty_score":0.9998176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005965663662635624,"score_gpt":0.1872802668758383,"score_spread":0.1813146032132027,"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."}}