{"id":"W2800895337","doi":"10.1029/2018jc013755","title":"Tropical Cyclone Boundary Layer Rolls in Synthetic Aperture Radar Imagery","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Oceans","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; European Space Agency","keywords":"Eye; Tropical cyclone; Geology; Synthetic aperture radar; Dropsonde; Storm; Planetary boundary layer; Radar; Meteorology; Wind speed; Climatology; Remote sensing; Turbulence; Physics; Oceanography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001831948,0.0002368036,0.0001316824,0.001576665,0.000112357,0.0004362105,0.0001010893,0.0001339566,0.0005634033],"category_scores_gemma":[0.0004184511,0.00009748171,0.0001633089,0.0009517106,0.000107569,0.0001589419,0.0001805582,0.0001249535,0.0001232694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140839,"about_ca_system_score_gemma":0.0001529475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003989685,"about_ca_topic_score_gemma":0.004864065,"domain_scores_codex":[0.9998758,0.00001231225,0.00001106128,0.00003116317,0.00004074259,0.00002884099],"domain_scores_gemma":[0.9998052,0.00003036383,0.00006799059,0.00002023497,0.00005321223,0.00002314214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131151,0.0003664064,0.49603,0.0003238012,0.0002546541,0.001665123,0.0005800839,0.05125241,0.2117388,0.0006895043,0.007853968,0.2281141],"study_design_scores_gemma":[0.00001744659,0.00005056536,0.930184,0.00002045655,0.00004070809,0.0002518079,0.0002267191,0.06069534,0.006800498,0.00008139479,0.001613065,0.00001787986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963884,0.0001311834,0.001693598,0.00002778854,0.00001880694,0.00001349314,0.0008742187,0.00009910301,0.0007535866],"genre_scores_gemma":[0.9956598,0.00009843545,0.002354739,0.00001412888,0.00001445829,0.000007793434,0.001618459,0.00001002015,0.0002222228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003989685,"threshold_uncertainty_score":0.007932961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483761576545875,"score_gpt":0.314579561092409,"score_spread":0.2797419453269503,"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."}}