{"id":"W3120396051","doi":"10.5194/essd-13-2777-2021","title":"Coastal Ocean Data Analysis Product in North America (CODAP-NA) – an internally consistent data product for discrete inorganic carbon, oxygen, and nutrients on the North American ocean margins","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NOAA Pacific Marine Environmental Laboratory; NOAA's Atlantic Oceanographic and Meteorological Laboratory; NOAA Research; Bjerknessenteret for klimaforskning, Universitetet i Bergen; Cooperative Institute for Marine and Atmospheric Studies, University of Miami; National Oceanic and Atmospheric Administration; Universitetet i Bergen; Northeast Fisheries Science Center; University of Miami; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; University of South Florida; Ocean Acidification Program; Princeton University","keywords":"Cruise; Environmental science; Oceanography; Product (mathematics); Continental shelf; Data quality; Ocean chemistry; Meteorology; Geography; Geology; Service (business); Seawater; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002749447,0.0003227253,0.0005416245,0.0003662906,0.0005804162,0.0006731377,0.005474876,0.00001933385,0.00002343198],"category_scores_gemma":[0.001128877,0.0002113994,0.0000369954,0.004535832,0.001183417,0.001370434,0.001246537,0.0002303947,0.00001494739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001330553,"about_ca_system_score_gemma":0.0006589936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002911644,"about_ca_topic_score_gemma":0.09401698,"domain_scores_codex":[0.9945797,0.000582242,0.0005900376,0.002630767,0.0009601164,0.0006570989],"domain_scores_gemma":[0.9911823,0.0003414647,0.0004402096,0.007494216,0.0001992035,0.0003425713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001230862,0.00007898585,0.9921041,0.00006965874,0.0001128451,0.00003820635,0.0003182132,0.000445198,0.00005965258,0.000004455056,0.000550199,0.006095408],"study_design_scores_gemma":[0.0001954137,0.0001549933,0.8071978,0.00003597512,0.0001399817,0.00003643546,0.001759991,0.1868076,0.00004906429,3.582032e-7,0.00335351,0.0002688406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651238,0.0002511907,0.0001499129,0.001000294,0.00030293,0.0009138981,0.03216261,0.00004632569,0.00004905812],"genre_scores_gemma":[0.9719347,0.00008277249,0.0007166576,0.0001799091,0.0001525314,0.000001259779,0.02685156,0.00001100915,0.00006961605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1863624,"threshold_uncertainty_score":0.999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04242710442306767,"score_gpt":0.2633032418120184,"score_spread":0.2208761373889507,"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."}}