{"id":"W6964743140","doi":"10.25921/w3rp-tx17","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-10) cruise (EXPOCODE 18SN20100915) in the Arctic Ocean from 2010-09-15 to 2010-10-15 (NCEI Accession 0232263)","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; Nutrient; Climate change; Ocean chemistry; Joint (building); Marine research","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":[0.0008067975,0.0008812224,0.0008315643,0.002028598,0.000647567,0.0009547559,0.001239175,0.0006294465,0.007194432],"category_scores_gemma":[0.001755522,0.0003431005,0.0006552843,0.005094564,0.0002705728,0.0006607563,0.001334384,0.0009685705,0.006176606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699093,"about_ca_system_score_gemma":0.004329423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1539646,"about_ca_topic_score_gemma":0.2268135,"domain_scores_codex":[0.9991562,0.00005828926,0.00009579529,0.0002340696,0.0003614032,0.00009427568],"domain_scores_gemma":[0.9978793,0.0001286865,0.0004013097,0.0002413929,0.001179725,0.0001696404],"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":[0.0004441649,0.0002632237,0.2211047,0.00203973,0.0005996795,0.0002083638,0.0005464022,0.002757074,0.00655361,0.00155993,0.7298734,0.0340499],"study_design_scores_gemma":[0.0001616591,0.00008470651,0.3342524,0.0003341137,0.0001026893,0.00006799761,0.0006682965,0.001698531,0.003277985,0.0008362505,0.6584261,0.00008926693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009822777,0.00007474025,0.0003008105,0.00007451735,0.00004572668,0.00005287716,0.9864201,0.00009549483,0.003112954],"genre_scores_gemma":[0.01315679,0.0001059665,0.001597065,0.00007031422,0.00001629058,0.0001916835,0.9826428,0.00003846234,0.002180644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1539646,"threshold_uncertainty_score":0.3061368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279137490504242,"score_gpt":0.2487574855628102,"score_spread":0.220843736512386,"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."}}