{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002558155,0.0001161006,0.0001853638,0.00004849107,0.0001736647,0.00004477946,0.000321346,0.00009440606,0.000653027],"category_scores_gemma":[0.0002533786,0.00006061541,0.00004266949,0.0002159812,0.0005891187,0.0001880136,0.0000721558,0.0003408723,0.00002766455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007429258,"about_ca_system_score_gemma":0.00009984928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02018814,"about_ca_topic_score_gemma":0.01834323,"domain_scores_codex":[0.9979596,0.0004589551,0.0002364049,0.0002875546,0.0006338948,0.0004236455],"domain_scores_gemma":[0.9987649,0.0007656569,0.00004198169,0.0002329234,0.00009282306,0.0001016651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001525594,0.00004692325,0.9876823,0.00002917859,0.000007965339,0.00002326501,0.0003000713,0.000002424835,0.0004392233,0.00003555757,0.0002445375,0.01103596],"study_design_scores_gemma":[0.0005978344,0.0001651872,0.9954966,0.00004538532,0.00000380707,0.00002185861,0.0006904433,0.001423087,0.0001120128,0.0004468788,0.0009041262,0.00009274581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951994,0.00006815622,0.00005875756,0.001596053,0.00009005023,0.0003364267,0.0003696808,0.000008372402,0.002273093],"genre_scores_gemma":[0.9991981,0.00006929822,0.0001959922,0.00004544707,0.0000764652,0.000001472971,0.00007856282,0.00000355754,0.0003311464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01094321,"threshold_uncertainty_score":0.9995694,"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."}}