{"id":"W4403315861","doi":"10.1080/20964471.2024.2412379","title":"Enhanced oceanic fog nowcasting through satellite-based recurrent neural networks","year":2024,"lang":"en","type":"article","venue":"Big Earth Data","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Nowcasting; Satellite; Computer science; Remote sensing; Artificial neural network; Meteorology; Climatology; Artificial intelligence; Environmental science; Geology; Geography; Engineering; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003350466,0.000159389,0.0001636789,0.00004416804,0.0001737455,0.0002167086,0.0004945179,0.00006958022,0.001841948],"category_scores_gemma":[0.0001259241,0.000117675,0.00004944195,0.0003995603,0.00005956945,0.0003605298,0.0000561527,0.0002469761,0.0003958002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001854646,"about_ca_system_score_gemma":0.0000421428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008389592,"about_ca_topic_score_gemma":0.0004050754,"domain_scores_codex":[0.9984638,0.0001120703,0.0002717874,0.0005456945,0.0002177047,0.0003889251],"domain_scores_gemma":[0.9986416,0.0005725141,0.00004209748,0.0006069966,0.00001995624,0.0001169028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004622593,0.00002196666,0.009013134,0.00005050181,0.00002574466,0.00003920074,0.00006956758,0.08710606,0.00003169592,0.0002213449,0.0006562496,0.9027183],"study_design_scores_gemma":[0.0001234615,0.0001036276,0.04526919,0.00003327559,0.00001978234,0.000002193364,0.000008502888,0.9199184,0.00001365015,0.000301495,0.03404194,0.0001644484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7284042,0.0445966,0.1666074,0.001577036,0.01017412,0.001219358,0.00336501,0.001192431,0.04286381],"genre_scores_gemma":[0.9937649,0.0001621439,0.00141137,0.0004367891,0.0005327793,6.738302e-7,0.003576508,0.00000529068,0.000109546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9025539,"threshold_uncertainty_score":0.9990705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124822144985353,"score_gpt":0.288855103010857,"score_spread":0.164032958025504,"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."}}