{"id":"W1979265800","doi":"10.5194/bg-10-917-2013","title":"Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"JST-Mirai Program; Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration; Agence Nationale de la Recherche; National Science Foundation","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Ocean color; Spectral slope; Environmental science; Absorption (acoustics); Seawater; Arctic; Oceanography; Geology; Chemistry; Satellite; Phytoplankton; Spectral line; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000255631,0.0001533201,0.0002839429,0.00008985488,0.0001606705,0.00009393401,0.0002790235,0.00006705211,0.0004823799],"category_scores_gemma":[0.00007116019,0.0001219675,0.00006356213,0.0005001219,0.0001246214,0.0001896629,0.000039857,0.00004470816,0.00004012991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001544198,"about_ca_system_score_gemma":0.00008351348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04500906,"about_ca_topic_score_gemma":0.004307126,"domain_scores_codex":[0.9984547,0.00004144357,0.0004642661,0.0003747992,0.000337528,0.0003272906],"domain_scores_gemma":[0.999081,0.0001558708,0.0002736891,0.0001948869,0.0001514722,0.0001430868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001290114,0.00005262349,0.8921565,0.00004244825,0.00002634313,2.456578e-7,0.0009322558,0.001251909,0.0991723,0.000004228573,0.00001859057,0.006329584],"study_design_scores_gemma":[0.000170553,0.0001005955,0.06922302,0.00004924719,0.00004807434,0.000001187787,0.001642028,0.9225678,0.005950132,0.00007645467,0.00001492297,0.0001559487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8755504,0.00001603024,0.122991,0.00009468342,0.0001673401,0.0007081684,0.0003745803,0.00001933743,0.00007845782],"genre_scores_gemma":[0.9898934,8.23808e-7,0.009717888,0.00002837289,0.00006570522,0.00001192621,0.0002153161,0.000006377988,0.00006017472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9213159,"threshold_uncertainty_score":0.9613503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216806994282931,"score_gpt":0.2206109663473033,"score_spread":0.2084428964044739,"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."}}