{"id":"W6958745416","doi":"10.6084/m9.figshare.25706529.v1","title":"Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Current Result","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Legal and Regulatory Analysis","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; Nowcasting","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":[0.0007347756,0.00181231,0.000877845,0.001966429,0.0004995824,0.001334297,0.002039272,0.001751701,0.03775718],"category_scores_gemma":[0.004488815,0.0004580279,0.001547683,0.002741808,0.0002820395,0.001466194,0.001181145,0.001574893,0.07653172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090005,"about_ca_system_score_gemma":0.001529858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03343758,"about_ca_topic_score_gemma":0.06598396,"domain_scores_codex":[0.9993749,0.00009727151,0.00008221432,0.000212015,0.0001557187,0.00007790393],"domain_scores_gemma":[0.9985861,0.0003185978,0.0001189114,0.0004138078,0.0004668752,0.00009576172],"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":[0.00006220771,0.00002436047,0.002034959,0.0003287851,0.00003080363,0.00001833344,0.00001264325,0.001273451,0.00008818711,0.0003229881,0.9926347,0.003168636],"study_design_scores_gemma":[0.0004320206,0.00005792871,0.01271645,0.0003907374,0.00006774838,0.00009132876,0.0001108886,0.01144704,0.0009340815,0.00310631,0.9705677,0.00007780246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004153101,0.00005717122,0.0001721034,0.00008697333,0.00003995814,0.00001411211,0.9973093,0.0009777966,0.0009271675],"genre_scores_gemma":[0.001189958,0.00004615487,0.0005266526,0.00003574267,0.000008544251,0.00004922451,0.9974217,0.00008652535,0.000635604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03775718,"threshold_uncertainty_score":0.1263103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05535844708578258,"score_gpt":0.3031123263355864,"score_spread":0.2477538792498038,"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."}}