{"id":"W6945756218","doi":"10.25921/c5kx-sm59","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-12) cruise (EXPOCODE 18SN20120802) in the Arctic Ocean from 2012-08-02 to 2012-08-30 (NCEI Accession 0232546)","year":2021,"lang":"en","type":"dataset","venue":"National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Hydrography; Arctic; Dissolved organic carbon; Colored dissolved organic matter; Nutrient; Total inorganic carbon; Ocean gyre; Joint (building); Ocean chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132255,0.001183102,0.001138144,0.002179279,0.0008935542,0.001582959,0.002281053,0.001442358,0.03143432],"category_scores_gemma":[0.00447581,0.0004998413,0.0006823094,0.006831421,0.0003782715,0.001055166,0.00171151,0.001538885,0.03307394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778082,"about_ca_system_score_gemma":0.002803715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03918914,"about_ca_topic_score_gemma":0.06304054,"domain_scores_codex":[0.9990502,0.0001136798,0.0001197514,0.0003318826,0.000257942,0.0001264469],"domain_scores_gemma":[0.9976274,0.0005443881,0.0004053426,0.0003765778,0.0008509863,0.0001952324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001229884,0.00005519334,0.01098028,0.001226275,0.0001004751,0.00006026831,0.00008108201,0.0006931057,0.0004221564,0.001165971,0.9796154,0.005476845],"study_design_scores_gemma":[0.000149692,0.00001978415,0.02738167,0.000399098,0.00004370071,0.00006930775,0.0001912499,0.0004201144,0.0006024804,0.001134162,0.9695495,0.00003918802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003078577,0.00002908813,0.00005481616,0.00002879971,0.000008663594,0.000006071841,0.9990609,0.00003544433,0.0004683582],"genre_scores_gemma":[0.0008745174,0.00003710348,0.000302921,0.00003311676,0.00000288,0.0000591517,0.9981343,0.000018729,0.0005372048],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03918914,"threshold_uncertainty_score":0.1051583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468538655171215,"score_gpt":0.2495343516587823,"score_spread":0.2248489651070701,"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."}}