{"id":"W1986577063","doi":"10.1175/jpo3032.1","title":"Dynamics in the Deep Canada Basin, Arctic Ocean, Inferred by Thermistor Chain Time Series","year":2007,"lang":"en","type":"article","venue":"Journal of Physical Oceanography","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Division of Ocean Sciences; Office of Naval Research; Fisheries and Oceans Canada; National Oceanic and Atmospheric Administration","keywords":"Structural basin; Geology; Internal wave; Arctic; Series (stratigraphy); Canada Basin; Climatology; Thermistor; Geophysics; Oceanography; Geomorphology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819171,0.0002206452,0.000358628,0.00007775371,0.000141412,0.00006461858,0.0005583208,0.00005502072,0.00008661516],"category_scores_gemma":[0.00007632624,0.0001361176,0.0002222892,0.001265072,0.0002103607,0.0003998699,0.000008598224,0.0004383714,0.000003442857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002873227,"about_ca_system_score_gemma":0.0001973085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01277603,"about_ca_topic_score_gemma":0.1137099,"domain_scores_codex":[0.9981437,0.0001030264,0.0004682222,0.0001566297,0.0006941876,0.0004342807],"domain_scores_gemma":[0.9987117,0.0004777314,0.0003438584,0.0001559384,0.0001311992,0.0001795449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002287762,0.0002122499,0.9827324,0.00005111955,0.0001011872,0.0001809804,0.0006532111,0.0003810865,0.00001707311,0.0001968672,0.006948583,0.00829645],"study_design_scores_gemma":[0.001532626,0.001790659,0.9385319,0.000166562,0.0001551247,0.0003093928,0.007172952,0.01350761,0.0001731078,0.008497851,0.02720998,0.0009522606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944356,0.001067049,0.0002452475,0.001226148,0.0001876196,0.0001030667,0.00003730814,0.00001178545,0.002686163],"genre_scores_gemma":[0.9985502,0.0000608628,0.0001919914,0.0008625641,0.0002541493,7.610961e-8,0.00002191592,0.000006828063,0.00005141967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009339,"threshold_uncertainty_score":0.993798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002926943906872642,"score_gpt":0.1779084837749733,"score_spread":0.1749815398681007,"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."}}