{"id":"W4392960204","doi":"10.3390/atmos15030371","title":"A Deep Learning-Based Downscaling Method Considering the Impact on Typhoons to Future Precipitation in Taiwan","year":2024,"lang":"en","type":"article","venue":"Atmosphere","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downscaling; Typhoon; Precipitation; Climatology; Environmental science; Meteorology; Geology; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002228395,0.00012643,0.0001258985,0.0000116361,0.0001333257,0.0002188133,0.000149827,0.00007217589,0.002656707],"category_scores_gemma":[0.00009188863,0.00006746103,0.00008668593,0.0005120733,0.00002797721,0.00009676916,0.000009774883,0.0005047718,0.0006227819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001760477,"about_ca_system_score_gemma":0.00006900159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394915,"about_ca_topic_score_gemma":0.01325501,"domain_scores_codex":[0.9987763,0.0002386096,0.0001460167,0.0002645097,0.0002393046,0.0003352955],"domain_scores_gemma":[0.9991993,0.000498215,0.00001281261,0.0001241525,0.00001903249,0.0001464275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009751035,0.000008896596,0.1112262,0.00001962061,0.00001168899,0.00004031764,0.0004629788,0.683683,0.00003253199,0.0001535825,0.0001774052,0.2040863],"study_design_scores_gemma":[0.0001083677,0.0002982005,0.53536,0.00004648189,0.000004319461,0.000004334828,0.0006859822,0.4542778,0.00001867492,0.0007382759,0.008355358,0.0001022374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722838,0.0015361,0.01674007,0.006672804,0.0002681926,0.0002994683,0.000008222057,0.0001024684,0.002088894],"genre_scores_gemma":[0.9947767,0.000009243719,0.004662431,0.0002298021,0.0002230933,0.000005529097,0.00001819127,0.000005743753,0.00006925228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4241338,"threshold_uncertainty_score":0.998255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402516661024378,"score_gpt":0.295937618466275,"score_spread":0.2819124518560313,"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."}}