{"id":"W2419668326","doi":"10.1016/j.csr.2016.06.001","title":"Spatial and temporal variability of sea-surface temperature fronts in the coastal Beaufort Sea","year":2016,"lang":"en","type":"article","venue":"Continental Shelf Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Indigenous and Northern Affairs Canada; Canadian Space Agency; Fonds Québécois de la Recherche sur la Nature et les Technologies; ArcticNet","keywords":"Front (military); Oceanography; Beaufort sea; Geology; Trough (economics); Plume; Beaufort scale; Sea surface temperature; Upwelling; Climatology; Frontogenesis; Sea ice; Meteorology; Geography; Mesoscale meteorology","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":[0.0002981116,0.0001231514,0.000204297,0.0009877345,0.0004965696,0.0008213428,0.0002578249,0.0003819351,0.0009745878],"category_scores_gemma":[0.000571508,0.0001435485,0.0003024859,0.001034055,0.0004880099,0.0003527474,0.0004072853,0.0001847185,0.0001596787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009731042,"about_ca_system_score_gemma":0.0006445376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2800981,"about_ca_topic_score_gemma":0.3927463,"domain_scores_codex":[0.9998645,0.00001523709,0.000008222678,0.00003565085,0.00002431828,0.00005206114],"domain_scores_gemma":[0.9994955,0.0001009794,0.0001528855,0.00004148626,0.0001274416,0.0000816088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003199351,0.00003986245,0.9822885,0.00001794214,0.0001086333,0.0002457828,0.001412096,0.00154956,0.004324468,0.0001765608,0.0008082888,0.008708388],"study_design_scores_gemma":[0.000001508347,0.000005826264,0.9992243,0.000002308767,0.000004669166,0.00001644321,0.0001603914,0.000339586,0.00003503949,0.000007502418,0.0001998493,0.000002497952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991597,0.00007578014,0.00002859014,0.00004670799,0.000004268875,8.738409e-7,0.0001896903,0.000006236195,0.0004880803],"genre_scores_gemma":[0.9993662,0.00003222437,0.00005353932,0.0000120624,0.000005194539,0.000001270181,0.0002572072,0.000002173441,0.0002700819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800981,"threshold_uncertainty_score":0.5569354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816890389376945,"score_gpt":0.2656821996393851,"score_spread":0.2475132957456156,"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."}}