{"id":"W6964638997","doi":"10.25921/jy88-9n09","title":"Dissolved inorganic carbon (DIC), total alkalinity, water temperature, salinity, dissolved oxygen, nutrients and other hydrographic and chemical data collected from discrete samples and profile observations during the CCGS Louis S. St-Laurent Joint Ocean Ice Study (JOIS-16) cruise (EXPOCODE 18SN20160922) in the Arctic Ocean, Beaufort Sea from 2016-09-22 to 2016-10-18 (NCEI Accession 0232552)","year":2021,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Hydrography; Arctic; Dissolved organic carbon; Ocean gyre; Colored dissolved organic matter; Total inorganic carbon; Nutrient; Joint (building); Sea ice","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008657487,0.000530042,0.0004295693,0.00005204463,0.0009249599,0.0004671228,0.0006296845,0.0003073376,0.0006552589],"category_scores_gemma":[0.0002726736,0.0003766189,0.00006809632,0.0003421648,0.0005521393,0.001388814,0.0008904455,0.0004811966,0.00001221567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548863,"about_ca_system_score_gemma":0.0001664038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005210929,"about_ca_topic_score_gemma":0.0008028402,"domain_scores_codex":[0.9960926,0.000234513,0.00103494,0.0009052178,0.001307786,0.0004249586],"domain_scores_gemma":[0.9983169,0.0004850656,0.0005072595,0.0003929189,0.00005665514,0.0002411946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002242976,0.003699886,0.4526305,0.0002729008,0.0007981957,0.00002166802,0.00452499,0.0007856945,0.003143413,0.00005876496,0.531567,0.0002539343],"study_design_scores_gemma":[0.003898405,0.0004104767,0.9490803,0.0001673493,0.000231034,0.00004712025,0.002989077,0.0104308,0.0002073615,0.0004331241,0.03115586,0.0009490902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7105481,0.00009322889,0.00002534287,0.0007153695,0.0001236714,0.001582277,0.2868677,0.00001647669,0.00002781759],"genre_scores_gemma":[0.6378421,0.0002167858,0.0002345341,0.0007088659,0.00008013952,0.00009957652,0.3607229,0.0000157322,0.00007933528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5004112,"threshold_uncertainty_score":0.9998686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646642080625067,"score_gpt":0.2530718171700617,"score_spread":0.2266053963638111,"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."}}