{"id":"W4400853289","doi":"10.1029/2023jc020414","title":"Isopycnal Shoaling Causes Interannual Variability in Oxygen on Isopycnals in the Subarctic Northeast Pacific","year":2024,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Shoaling and schooling; Optode; Argo; Oxygen; Environmental science; Dissolved organic carbon; Context (archaeology); Hypoxia (environmental); Water column; Atmospheric sciences; Oceanography; Geology; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587113,0.0001587533,0.0001546844,0.0005038201,0.0002414869,0.0003678453,0.0001561325,0.0001616236,0.0006149345],"category_scores_gemma":[0.0008855854,0.0001383111,0.0002029204,0.0004547971,0.0002632338,0.000203033,0.0003810762,0.0002060917,0.0001078167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002497959,"about_ca_system_score_gemma":0.0001781962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057081,"about_ca_topic_score_gemma":0.03003976,"domain_scores_codex":[0.999913,0.00001699159,0.000006752357,0.00002805677,0.00001766898,0.00001747899],"domain_scores_gemma":[0.9993119,0.0001509126,0.0002571844,0.00007080899,0.0001272629,0.00008195676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003239347,0.00001172284,0.9935989,0.000005300146,0.00004431667,0.00005380518,0.0001150953,0.0002151077,0.003909925,0.00001208618,0.00008410461,0.001917181],"study_design_scores_gemma":[3.653552e-7,0.000003210605,0.9996144,6.950568e-7,0.000003394197,0.000007564104,0.00004144327,0.000202223,0.00008226044,0.000003520498,0.00004013208,6.993462e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996045,0.000026287,0.00007649963,0.0000137295,0.000002710102,0.000001057331,0.0001152465,0.000003899712,0.0001560551],"genre_scores_gemma":[0.9996678,0.0000231665,0.00005915496,0.000007610275,0.000003378972,0.000002000486,0.0001525454,0.000002780108,0.00008175422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02057081,"threshold_uncertainty_score":0.04090214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935078486581617,"score_gpt":0.3156562679058356,"score_spread":0.2763054830400194,"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."}}