{"id":"W2915789632","doi":"10.1038/s41598-019-40034-6","title":"On the emerging relationship between the stratospheric Quasi-Biennial oscillation and the Madden-Julian oscillation","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Climate variability and models","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research; U.S. Department of Defense; Department of Agriculture and Water Resources, Australian Government; Australian Government; G. Unger Vetlesen Foundation; Natural Sciences and Engineering Research Council of Canada","keywords":"Oscillation (cell signaling); Madden–Julian oscillation; Quasi-biennial oscillation; Climatology; Environmental science; Meteorology; Atmospheric sciences; Geography; Biology; Geology; Stratosphere","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006528927,0.0001247276,0.0001189215,0.00002053987,0.001294645,0.0004242711,0.0001990225,0.00006293091,0.0008074156],"category_scores_gemma":[0.000710978,0.00005980639,0.0000687855,0.0005307425,0.000764901,0.0002830279,0.0001490666,0.0002041582,0.0002362377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007795772,"about_ca_system_score_gemma":0.00002315567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002105481,"about_ca_topic_score_gemma":0.00008259797,"domain_scores_codex":[0.997722,0.0002621973,0.0003977348,0.0005492181,0.0008304134,0.0002384577],"domain_scores_gemma":[0.9977626,0.0009491025,0.0002788853,0.0009311029,0.00002730577,0.0000510382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002195755,0.00002541006,0.9669998,0.000006290854,0.00000849051,0.00000204925,0.003700752,0.01087462,0.0004712526,0.01245568,0.004437953,0.0009957992],"study_design_scores_gemma":[0.0003623929,0.00004519643,0.6978314,0.00002581647,0.00004593386,0.00002480344,0.000826638,0.02352281,0.00008751507,0.2573217,0.01965665,0.0002491246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801036,0.00001278169,0.0002921647,0.006567342,0.001395078,0.0008090658,0.000002388279,0.00003066942,0.01078696],"genre_scores_gemma":[0.9970453,0.000001274596,0.00004824822,0.0001162408,0.0000578016,0.00001732706,0.00001525731,0.000008582703,0.002689952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2691684,"threshold_uncertainty_score":0.9957495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341530828765814,"score_gpt":0.2428715534990643,"score_spread":0.2194562452114061,"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."}}