{"id":"W1964167544","doi":"10.1175/2010jcli3816.1","title":"A New Approach to Homogenize Daily Radiosonde Humidity Data","year":2010,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Austrian Science Fund; National Oceanic and Atmospheric Administration; Met Office; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation","keywords":"Radiosonde; Environmental science; Humidity; Climatology; Classification of discontinuities; Troposphere; Sampling (signal processing); Meteorology; Water vapor; Statistics; Geology; Mathematics; Computer science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001942412,0.0005506969,0.0006934382,0.003748748,0.0005182785,0.001331622,0.0008466347,0.0004709009,0.002472662],"category_scores_gemma":[0.006877772,0.0003228065,0.00105393,0.002373961,0.0004540361,0.0008667929,0.001461253,0.0008483907,0.0008646062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669972,"about_ca_system_score_gemma":0.000731265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005068809,"about_ca_topic_score_gemma":0.005569136,"domain_scores_codex":[0.9983417,0.0002721972,0.0001967502,0.0007363039,0.0003242564,0.0001287262],"domain_scores_gemma":[0.9974744,0.0008138527,0.0003038571,0.00062836,0.0006897224,0.00008989497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006083893,0.000508117,0.1131491,0.0002800139,0.0008177979,0.0003850034,0.001190101,0.02921946,0.07837135,0.009674177,0.005945061,0.7598515],"study_design_scores_gemma":[0.000143248,0.0007189701,0.3893047,0.00008238314,0.0003820755,0.0006125369,0.001002666,0.491868,0.03976806,0.01561068,0.06025732,0.0002494237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1971191,0.0002324632,0.7949393,0.00013591,0.0001362227,0.0004677747,0.002499939,0.001878092,0.002591104],"genre_scores_gemma":[0.5102319,0.0001550159,0.4761403,0.0001231482,0.0002370641,0.000678446,0.009128719,0.0007355887,0.002569844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005068809,"threshold_uncertainty_score":0.01027256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04810006799269573,"score_gpt":0.2872261041538388,"score_spread":0.2391260361611431,"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."}}