{"id":"W2960186963","doi":"10.3389/fmars.2019.00457","title":"SEASTAR: A Mission to Study Ocean Submesoscale Dynamics and Small-Scale Atmosphere-Ocean Processes in Coastal, Shelf and Polar Seas","year":2019,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Oceanography; Sea ice; Ocean current; Atmosphere (unit); Ocean dynamics; Sea-surface height; Geology; Environmental science; Scatterometer; Sea surface temperature; Temporal scales; Stratification (seeds); Ocean color; Climatology; Satellite; Meteorology; Wind speed; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006623208,0.0007953774,0.0004021786,0.0005557312,0.0003043355,0.0005994287,0.0005757267,0.0003504415,0.002812245],"category_scores_gemma":[0.0004550484,0.0001587959,0.0004277428,0.0006812136,0.0002214736,0.0008323023,0.001265428,0.0006771355,0.001326088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018469,"about_ca_system_score_gemma":0.0008215628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007631506,"about_ca_topic_score_gemma":0.00960834,"domain_scores_codex":[0.9997997,0.00002939789,0.000009420715,0.00004221266,0.00008502895,0.00003430053],"domain_scores_gemma":[0.9997388,0.00002570383,0.00003505689,0.00003691924,0.000062485,0.0001010894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00361668,0.001108893,0.1290622,0.0009622767,0.001101332,0.0008567591,0.001687443,0.05773599,0.1897815,0.01243637,0.3535833,0.2480672],"study_design_scores_gemma":[0.002505661,0.002225243,0.3059937,0.0002530971,0.0004448525,0.0005183487,0.001135616,0.3059081,0.04300792,0.008331226,0.3294243,0.0002520041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6206356,0.00146194,0.05794503,0.001270559,0.0008263642,0.001104622,0.2462608,0.02226962,0.04822547],"genre_scores_gemma":[0.5559189,0.0005456421,0.09638643,0.0004515441,0.0002968569,0.0008361474,0.3340983,0.001815582,0.009650545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007631506,"threshold_uncertainty_score":0.01517421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004568896806190379,"score_gpt":0.1923322317730038,"score_spread":0.1877633349668134,"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."}}