{"id":"W3008986565","doi":"10.5194/bg-17-813-2020","title":"Trends and decadal oscillations of oxygen and nutrients at 50 to 300 m depth in the equatorial and North Pacific","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Deutsche Forschungsgemeinschaft","keywords":"Pacific decadal oscillation; Oceanography; Nutrient; Ocean gyre; Environmental science; Context (archaeology); Ocean heat content; Sea surface temperature; Geology; Subtropics; Ecology; Biology","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":[0.000228493,0.000152394,0.0001422185,0.0008008036,0.0001447848,0.0003547536,0.0001223552,0.000219868,0.0005954797],"category_scores_gemma":[0.0004770886,0.00008422704,0.0001767229,0.001125687,0.0001534295,0.0003163558,0.0003270541,0.0002450688,0.0001060064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045276,"about_ca_system_score_gemma":0.0001958989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01535676,"about_ca_topic_score_gemma":0.0240499,"domain_scores_codex":[0.9999338,0.000006989878,0.00000799993,0.00002511304,0.0000134203,0.00001255025],"domain_scores_gemma":[0.9996122,0.00005223588,0.0001570692,0.00001988151,0.00009720686,0.00006152349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007627388,0.00001535619,0.9916657,0.00004435713,0.0001159473,0.00006449027,0.0003085267,0.0004281595,0.002185561,0.0001118287,0.000496285,0.004487557],"study_design_scores_gemma":[8.154117e-7,0.000006318329,0.9992551,0.000003441311,0.000009240861,0.00001304462,0.0001014028,0.0002440444,0.00006164362,0.00001685024,0.0002866515,0.000001484817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997849,0.0002682332,0.00007693809,0.00005890391,0.00001000653,0.000001932813,0.00123564,0.00000811511,0.0004913331],"genre_scores_gemma":[0.9983889,0.0001760696,0.000102283,0.0000203015,0.000010838,0.000005588542,0.001053832,0.000002911722,0.0002393839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01535676,"threshold_uncertainty_score":0.03053474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422888411851009,"score_gpt":0.2127252545026921,"score_spread":0.188496370384182,"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."}}