{"id":"W6948858749","doi":"10.5281/zenodo.11106916","title":"Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Result","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather prediction; National weather service; Weather forecasting; Tropical cyclone forecast model; Global Forecast System; Numerical weather prediction; Model output statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006581895,0.00221577,0.0008862473,0.001686212,0.0004797875,0.001301176,0.001625557,0.001422146,0.01898521],"category_scores_gemma":[0.002820311,0.0004365986,0.001502848,0.002054261,0.0002406206,0.001678247,0.0009192908,0.00159667,0.05043286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009614062,"about_ca_system_score_gemma":0.001223741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02705784,"about_ca_topic_score_gemma":0.04310818,"domain_scores_codex":[0.9993081,0.00007504103,0.00007344511,0.0002772516,0.0001768572,0.00008919522],"domain_scores_gemma":[0.998997,0.000144663,0.00005985832,0.0003464749,0.0003861113,0.00006579456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001062782,0.00003839564,0.00272811,0.0002555055,0.00004387015,0.00003029159,0.00001399373,0.00310173,0.0002855441,0.0002961649,0.9875203,0.005579822],"study_design_scores_gemma":[0.0004639802,0.0001139893,0.01842624,0.0002828007,0.0001185991,0.0001874903,0.0001775193,0.04446861,0.004146867,0.003158131,0.9283186,0.0001371798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001931044,0.0001270946,0.0006361498,0.0001507476,0.0001404137,0.00003368769,0.9910698,0.003885136,0.002026093],"genre_scores_gemma":[0.002754732,0.00005236157,0.000887378,0.00002950717,0.0000133691,0.00004313755,0.9952016,0.0001389206,0.0008789824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02705784,"threshold_uncertainty_score":0.06351185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07505758045604045,"score_gpt":0.2819974127482945,"score_spread":0.2069398322922541,"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."}}