{"id":"W4225659230","doi":"10.1038/s41598-022-10080-8","title":"Deep water pathways in the North Pacific Ocean revealed by Lagrangian particle tracking","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; University of Tokyo; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Upwelling; Oceanography; Boundary current; Geology; Deep ocean water; Pacific ocean; Circumpolar deep water; Ocean current; North Atlantic Deep Water; Ocean heat content; Arctic; Deep sea; Canada Basin; Deep water; Ocean general circulation model; Thermohaline circulation; Physical oceanography; Pacific decadal oscillation; Climate change; General Circulation Model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008885263,0.000142835,0.0001014021,0.0002529682,0.0002733751,0.0003014966,0.0001566503,0.0001596718,0.0004047708],"category_scores_gemma":[0.0002697617,0.0001928771,0.0001373575,0.0004008405,0.0002225218,0.0003631401,0.0002805609,0.0003009826,0.00005970642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003502181,"about_ca_system_score_gemma":0.0006697988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02717797,"about_ca_topic_score_gemma":0.01807181,"domain_scores_codex":[0.9999747,0.000003345353,0.000001082409,0.000007619454,0.00000709985,0.000006124815],"domain_scores_gemma":[0.9999275,0.00001382725,0.00002182442,0.000008885039,0.0000136468,0.00001441338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005638625,0.000290145,0.3640852,0.0001662062,0.0001764453,0.00109849,0.001314149,0.3700514,0.2057174,0.00764557,0.001708523,0.04718269],"study_design_scores_gemma":[0.00004135223,0.00009681223,0.1348215,0.00001240684,0.00003388384,0.00006699326,0.0002586327,0.850661,0.01027415,0.002156266,0.001543351,0.00003376288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947898,0.00005979417,0.003785953,0.00003093729,0.000003564599,0.000007487902,0.0001778185,0.00003818475,0.001106375],"genre_scores_gemma":[0.9952874,0.0001117101,0.003973186,0.0000088883,0.00000105816,0.000009585857,0.0002272923,0.000006274657,0.0003745922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02717797,"threshold_uncertainty_score":0.05403954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097467100897366,"score_gpt":0.1814816923161774,"score_spread":0.1705070213072038,"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."}}