{"id":"W2107321911","doi":"10.3137/ao1006.2010","title":"Impact study with observations assimilated over North America and the North Pacific Ocean on the MSC global forecast system. Part I: Contribution of radiosonde, aircraft and satellite data","year":2010,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Radiosonde; Data assimilation; Climatology; Meteorology; Satellite; Environmental science; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003596021,0.0008710801,0.0007019907,0.0005452982,0.0005808215,0.0009281974,0.0005028584,0.0007016319,0.0006452322],"category_scores_gemma":[0.007154743,0.0003146437,0.0008573139,0.0007812875,0.0005458224,0.0008400733,0.0007642857,0.0007351454,0.00009794872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446468,"about_ca_system_score_gemma":0.0008418795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08325391,"about_ca_topic_score_gemma":0.05556958,"domain_scores_codex":[0.9984159,0.0006716266,0.0001012067,0.0002749528,0.0003641644,0.0001721069],"domain_scores_gemma":[0.9869464,0.009771233,0.0008968684,0.0005623255,0.001394659,0.000428557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01027732,0.002934576,0.5124351,0.0003273751,0.001853707,0.001436807,0.0005470902,0.3777669,0.05463956,0.0004286987,0.001995341,0.03535744],"study_design_scores_gemma":[0.0005843713,0.004935199,0.716753,0.00003316848,0.0007317743,0.0001532375,0.0006874554,0.234246,0.0394102,0.0001769779,0.002162606,0.0001259736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987294,0.00008288485,0.0002248152,0.00005621142,0.00001492362,0.00002666128,0.0003842306,0.00001657119,0.0004643601],"genre_scores_gemma":[0.9977838,0.00005829063,0.0005458622,0.00003190328,0.00001606082,0.00001671077,0.001223335,0.00001083904,0.0003131665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08325391,"threshold_uncertainty_score":0.1655387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561431551796797,"score_gpt":0.2311816018208914,"score_spread":0.2055672863029234,"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."}}