{"id":"W4416436364","doi":"10.1175/jtech-d-25-0006.1","title":"An Intercomparison of the Sparv Windsond S1H2 and Vaisala RS41-SGP in Severe Weather Environments","year":2025,"lang":"","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"NOAA Research","keywords":"Depth sounding; Daytime; Atmosphere (unit); Convection; Atmospheric sounding; Sampling (signal processing); Sounding rocket; Convective storm detection","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":[],"consensus_categories":[],"category_scores_codex":[0.000493366,0.0002132948,0.0005931231,0.00004581188,0.0001338014,0.00002984638,0.0004891878,0.0003489581,0.0004795363],"category_scores_gemma":[0.00009656065,0.0001366897,0.00007921033,0.0006264789,0.0006270231,0.0002019493,0.0001000884,0.0005354031,0.00000218279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001750068,"about_ca_system_score_gemma":0.00007423156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915168,"about_ca_topic_score_gemma":0.00007094588,"domain_scores_codex":[0.998242,0.0001953693,0.0008239835,0.0002603976,0.0001838216,0.0002944037],"domain_scores_gemma":[0.9988843,0.0002011543,0.0005201907,0.0002728745,0.00002593678,0.00009560121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001606403,0.0001884357,0.9011799,0.00002698542,0.00008652048,0.00001061734,0.0003402454,0.002274215,0.0002409358,0.0006830687,0.00008877553,0.0947197],"study_design_scores_gemma":[0.001357107,0.001207397,0.9604721,0.0001391913,0.0001144585,0.00006628139,0.001810823,0.01527528,0.00006576686,0.01336246,0.005973131,0.0001560122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864334,0.01064727,0.0005142787,0.001142329,0.0003255749,0.0001620534,0.000006896703,0.000005248522,0.0007629719],"genre_scores_gemma":[0.996477,0.001624236,0.001401654,0.0001853694,0.00002656134,2.652787e-7,5.25652e-7,0.000004268965,0.000280093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09456369,"threshold_uncertainty_score":0.5574043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006659460181615826,"score_gpt":0.2188215228942657,"score_spread":0.2121620627126498,"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."}}