{"id":"W2034276599","doi":"10.1029/2009jc006020","title":"Impact of the Arctic Ocean Atlantic water layer on Siberian shelf hydrography","year":2010,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Bundesministerium für Bildung und Forschung; Division of Arctic Sciences; Universität Trier; Deutsche Forschungsgemeinschaft; Office of Polar Programs; Alberta Agricultural Research Institute; National Science Foundation","keywords":"Hydrography; Halocline; Geology; Oceanography; Continental shelf; Bottom water; Thermohaline circulation; Arctic; Mixed layer; Temperature salinity diagrams; Climatology; Salinity","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009413514,0.0001630296,0.0003050792,0.00003713139,0.0002674807,0.00007875491,0.0007518997,0.00008758492,0.002079957],"category_scores_gemma":[0.0003743143,0.00007134506,0.000537474,0.0004014315,0.0006140499,0.0002149449,0.00005379177,0.001520561,0.0001129774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001324591,"about_ca_system_score_gemma":0.0002253954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006030444,"about_ca_topic_score_gemma":0.0006563405,"domain_scores_codex":[0.9973198,0.0002608418,0.0003844585,0.0001683229,0.001244748,0.0006217961],"domain_scores_gemma":[0.9980811,0.0007296947,0.0001607889,0.0003481172,0.0003806388,0.0002996925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004448707,0.000235289,0.9880451,0.00003111256,0.0001668092,0.00004248292,0.0003121908,0.0007158134,0.003127909,0.0001964564,0.0007034183,0.005978549],"study_design_scores_gemma":[0.000375772,0.001658219,0.9876598,0.000071492,0.00002556864,0.00005254139,0.0001301824,0.001938047,0.0004806495,0.006972291,0.0005254798,0.0001099616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977533,0.00001476233,0.000005393281,0.0006887521,0.0003048328,0.0001223011,0.000009548043,0.000004760116,0.001096402],"genre_scores_gemma":[0.9990228,0.00002634681,0.0002274802,0.00005417785,0.000475049,1.676669e-7,0.000003747619,0.000008031684,0.0001822284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006775835,"threshold_uncertainty_score":0.9988323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627424237904946,"score_gpt":0.2819277687120513,"score_spread":0.2656535263330019,"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."}}