{"id":"W2443622674","doi":"10.5194/essd-8-531-2016","title":"Global ocean particulate organic carbon flux merged with satelliteparameters","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Agency for Marine-Earth Science and Technology; Fisheries and Oceans Canada; Michigan Technological University; Goddard Space Flight Center; National Oceanic and Atmospheric Administration; Institut Français de Recherche pour l'Exploitation de la Mer; Woods Hole Oceanographic Institution; National Aeronautics and Space Administration","keywords":"Photic zone; Satellite; Environmental science; Sediment trap; Photosynthetically active radiation; Flux (metallurgy); Deep sea; Ocean color; Carbon fibers; Southern Hemisphere; Carbon cycle; Geology; Oceanography; Atmospheric sciences; Climatology; Water column; Phytoplankton; Photosynthesis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553692,0.0009297556,0.0006200023,0.002978584,0.000268511,0.0007788222,0.0003756486,0.00045874,0.004521685],"category_scores_gemma":[0.0004694258,0.0003101326,0.0007835444,0.00629138,0.0001212732,0.0006422343,0.0005989778,0.000442586,0.002640521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005852118,"about_ca_system_score_gemma":0.0007893306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06812575,"about_ca_topic_score_gemma":0.04818874,"domain_scores_codex":[0.9997519,0.00001494993,0.00002225507,0.00009803811,0.00007607044,0.00003681411],"domain_scores_gemma":[0.9995091,0.00002741785,0.00009053471,0.00007551225,0.0002540736,0.00004339936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001568496,0.00047703,0.6153288,0.002140035,0.002414879,0.000747066,0.0005115091,0.06652979,0.03868304,0.002154777,0.1214827,0.1479619],"study_design_scores_gemma":[0.0001547042,0.00009997325,0.8769486,0.00008186798,0.0002667833,0.00008830024,0.0001577353,0.008343119,0.007852235,0.0004044459,0.1055354,0.00006677799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2204234,0.0002572213,0.001165554,0.00008462254,0.0001065689,0.00007027387,0.7682402,0.001103701,0.008548375],"genre_scores_gemma":[0.1988786,0.0003198208,0.005084636,0.00006916845,0.00008375035,0.0001765088,0.7924299,0.0001962121,0.002761333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06812575,"threshold_uncertainty_score":0.1354584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163069827491878,"score_gpt":0.2068066101043372,"score_spread":0.1904996273551494,"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."}}