{"id":"W4389404249","doi":"10.1525/elementa.2022.00112","title":"Reconciliation of total particulate organic carbon and nitrogen measurements determined using contrasting methods in the North Pacific Ocean as part of the NASA EXPORTS field campaign","year":2023,"lang":"en","type":"article","venue":"Elementa Science of the Anthropocene","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Woods Hole Oceanographic Institution; Ocean Frontier Institute; National Aeronautics and Space Administration; Universities Space Research Association; National Science Foundation","keywords":"Environmental science; Marine snow; Sampling (signal processing); Particulates; Carbon fibers; Oceanography; Filter (signal processing); Computer science; Water column; Geology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002359567,0.00008973734,0.0001682275,0.00005799149,0.0002132328,0.00002278764,0.0003201907,0.00001996642,0.00008551979],"category_scores_gemma":[0.0002748129,0.00004799597,0.00004412243,0.001026342,0.0002602903,0.0001318678,0.00008166346,0.00006453082,3.422447e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009444252,"about_ca_system_score_gemma":0.000144586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003433398,"about_ca_topic_score_gemma":0.002396661,"domain_scores_codex":[0.9983876,0.0002451316,0.0004188751,0.0001838995,0.0005236207,0.0002409111],"domain_scores_gemma":[0.9991714,0.0001328832,0.0003462616,0.0002482176,0.00006910745,0.00003211583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001010939,0.00001060024,0.9813111,0.00002162106,0.000008470714,6.872703e-7,0.0005225546,0.0002313256,0.012722,0.000001015766,0.000008801691,0.005151685],"study_design_scores_gemma":[0.0003229685,0.0002087856,0.6768262,0.0001183272,0.00004505687,0.00001795009,0.004507093,0.0390774,0.2785211,0.0002241789,0.000007087089,0.0001238435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988478,0.00004749248,0.00000878704,0.0001264656,0.0002963558,0.0002955143,0.00001141149,0.000004311068,0.0003618378],"genre_scores_gemma":[0.9998302,0.00001370794,0.0000985197,0.00002649078,0.00001755549,6.780497e-7,0.00000227299,0.000002006263,0.000008507353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3044849,"threshold_uncertainty_score":0.5190294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394858111378911,"score_gpt":0.2884496029833702,"score_spread":0.2445010218695811,"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."}}