{"id":"W6976992145","doi":"10.6084/m9.figshare.25705398","title":"Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Current Result","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Ukrainian Legal and Forensic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National weather service; Weather forecasting; Current (fluid); Weather prediction; Numerical weather prediction; Tropical cyclone forecast model; Global Forecast System","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001205231,0.0003233491,0.0003023677,0.0001512414,0.0004185465,0.0001526455,0.0004843797,0.0003744023,0.02761835],"category_scores_gemma":[0.0004140795,0.0002909635,0.0002243911,0.0002797121,0.00008016056,0.000206295,0.0003083348,0.0006644653,0.007977859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608317,"about_ca_system_score_gemma":0.0005802818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001364649,"about_ca_topic_score_gemma":0.001096305,"domain_scores_codex":[0.9980195,0.00005793905,0.0002517008,0.0005532062,0.0006506444,0.0004670337],"domain_scores_gemma":[0.99913,0.00006720986,0.0001272919,0.0003256412,0.0001903287,0.0001595879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001282824,0.00002564535,6.139612e-8,0.0001949079,0.00005526692,0.00001294609,0.00400199,0.0003192352,2.868826e-8,0.00006204681,0.991914,0.003400999],"study_design_scores_gemma":[0.0001268378,0.00002718893,6.609067e-7,0.001738159,0.0000836333,7.90746e-7,0.0004282806,0.01823578,2.192093e-7,0.0005391479,0.9785312,0.0002880679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[4.005026e-7,0.002505075,0.000001632137,0.0004133994,0.0007109361,0.0003691848,0.9811829,0.0001730604,0.01464346],"genre_scores_gemma":[0.00003576175,0.0006402161,0.00002154751,0.00008466872,0.001423635,0.000137067,0.9944624,0.00002798976,0.003166717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01964049,"threshold_uncertainty_score":0.9999542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08237694163922363,"score_gpt":0.3153830936038891,"score_spread":0.2330061519646654,"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."}}