{"id":"W7105688466","doi":"10.24400/527896/a03-2025.4166","title":"Using SWOT for ocean monitoring and prediction off Canada’s west and east coasts","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"","keywords":"SWOT analysis; Sea-surface height; Ocean surface topography; Anomaly (physics); Current (fluid); Ocean current; Geostrophic wind","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002136428,0.0004659431,0.0002287554,0.0006397034,0.0005923841,0.0007444424,0.0004377496,0.0001970713,0.001461184],"category_scores_gemma":[0.0006207586,0.0001629179,0.0002590394,0.001373232,0.0002291145,0.000404004,0.0003501623,0.0003397473,0.0002071401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002771905,"about_ca_system_score_gemma":0.006650349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9334743,"about_ca_topic_score_gemma":0.9506299,"domain_scores_codex":[0.999877,0.000008630444,0.000004484843,0.00002146253,0.00005741146,0.00003094008],"domain_scores_gemma":[0.9996414,0.00002254761,0.00002191151,0.00002215143,0.0002328453,0.00005907887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004710199,0.0001665078,0.3393887,0.0001589791,0.0002028593,0.0003951716,0.000288222,0.4570577,0.01676824,0.001471159,0.01145182,0.1721797],"study_design_scores_gemma":[0.00005331059,0.00002993392,0.148758,0.00002766767,0.00003425074,0.00001859666,0.000335537,0.8398036,0.005662735,0.0003412172,0.004900184,0.00003495717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964671,0.0001825978,0.01187389,0.0003378937,0.00005697537,0.00008505918,0.0138765,0.001618253,0.007297867],"genre_scores_gemma":[0.9685648,0.0001506689,0.02013815,0.00002985505,0.000007981915,0.00001856732,0.009215516,0.00006958979,0.001804896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0665257,"threshold_uncertainty_score":0.1338349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03732319148250892,"score_gpt":0.2671208234822545,"score_spread":0.2297976319997456,"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."}}