{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001707541,0.0001273293,0.0002557393,0.00004452559,0.0001053797,0.00007526384,0.00112976,0.0000838307,0.002906981],"category_scores_gemma":[0.0002347337,0.0001027213,0.00008510193,0.0001856467,0.00006203096,0.0006180105,0.000713961,0.0004176894,0.0004366351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005167615,"about_ca_system_score_gemma":0.0000432915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009029147,"about_ca_topic_score_gemma":0.00008469576,"domain_scores_codex":[0.9984832,0.00004653348,0.0004507772,0.000278396,0.000418051,0.0003230858],"domain_scores_gemma":[0.9984357,0.00007198124,0.0002269607,0.0008367399,0.00001571969,0.0004129358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007983831,0.002094896,0.08500494,0.0001163797,0.0001515561,0.00009473585,0.003901761,0.01110608,0.558167,0.003542927,0.275805,0.05921627],"study_design_scores_gemma":[0.003929111,0.0004672326,0.09649622,0.00007012272,0.0003687955,0.001933439,0.0003748744,0.01780661,0.006147963,0.009553079,0.8615905,0.001262035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435111,0.00001752218,0.009793513,0.001247754,0.0007091924,0.0001781656,0.0000647653,0.00002084821,0.04445713],"genre_scores_gemma":[0.8084788,0.0002038798,0.1894454,0.0007373157,0.0006178142,0.000001922034,0.00001746313,0.00003041882,0.0004670743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5857855,"threshold_uncertainty_score":0.9980045,"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."}}