{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331418,0.0002138109,0.0002648982,0.00008307426,0.0002671897,0.000234164,0.001445745,0.00004344581,0.0004872683],"category_scores_gemma":[0.00008602095,0.0001152093,0.00002524364,0.001249408,0.0003385615,0.001007208,0.0001803469,0.0000521457,0.0005811307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001766569,"about_ca_system_score_gemma":0.0003059941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003512429,"about_ca_topic_score_gemma":0.01237818,"domain_scores_codex":[0.9970731,0.0001091414,0.0003523526,0.0008796031,0.0008753187,0.0007105376],"domain_scores_gemma":[0.9979743,0.00006469301,0.0001547691,0.001331994,0.00008701694,0.0003872558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006598735,0.00001368242,0.9533861,0.00006861109,0.0000318096,0.00009592368,0.00005028917,0.0001065597,0.0006262019,0.0001055297,0.0004038844,0.04504539],"study_design_scores_gemma":[0.002149843,0.001065667,0.8029909,0.0009353494,0.0001438087,0.001180005,0.001522747,0.1594247,0.002803786,0.00007502129,0.02584007,0.001868072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838063,0.0001112253,0.0002550418,0.0001343971,0.000601725,0.0002915454,0.0007375405,0.0001493009,0.01391295],"genre_scores_gemma":[0.9991091,0.000006862102,0.0002251247,0.00003499998,0.00008907307,5.611271e-7,0.0001307828,0.000004250696,0.0003992508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1593182,"threshold_uncertainty_score":0.7469453,"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."}}