{"id":"W2378515134","doi":"","title":"Analysis on the Water Masses in the Arctic Ocean Based on the PHC3.0 Data Sets","year":2011,"lang":"en","type":"article","venue":"Hydrographic Surveying and Charting","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Water mass; Oceanography; Arctic dipole anomaly; Circumpolar deep water; Salinity; Structural basin; Surface water; Canada Basin; Temperature salinity diagrams; Circumpolar star; The arctic; Geology; Environmental science; Climatology; North Atlantic Deep Water; Thermohaline circulation; Arctic ice pack; Geomorphology","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":[0.0003874209,0.0003125384,0.0002694915,0.002389942,0.0004494287,0.0004128458,0.0001720768,0.0001343552,0.0006954478],"category_scores_gemma":[0.0008588654,0.0001113266,0.0003762665,0.002618823,0.0001681665,0.0001959723,0.000325144,0.0002047051,0.0002352838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007421449,"about_ca_system_score_gemma":0.0008996307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027752,"about_ca_topic_score_gemma":0.09066813,"domain_scores_codex":[0.9997041,0.00002926197,0.00002249768,0.0000572921,0.0001328486,0.00005398885],"domain_scores_gemma":[0.9995091,0.00006290792,0.00005969957,0.00003230344,0.0002745306,0.00006151145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006565157,0.0001106715,0.9001049,0.0001540226,0.00023425,0.0004164504,0.0005025001,0.01805699,0.01287265,0.0009140789,0.005768766,0.06020819],"study_design_scores_gemma":[0.00001565501,0.00002426146,0.9780458,0.00001513848,0.0000265548,0.00005650332,0.0002843661,0.01517928,0.002789467,0.0001299641,0.003414294,0.00001869904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655157,0.00008255641,0.00165703,0.00004466583,0.00001718078,0.00005086221,0.0294124,0.0001569683,0.003062694],"genre_scores_gemma":[0.9387207,0.00009310637,0.004333884,0.00001517149,0.00001588087,0.0000501981,0.05609269,0.00002698214,0.0006514241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027752,"threshold_uncertainty_score":0.204354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07144354239983672,"score_gpt":0.2325686563458551,"score_spread":0.1611251139460183,"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."}}