{"id":"W4248108466","doi":"10.1002/essoar.10503358.2","title":"Quasi-biennial oscillation disrupted by abnormal Southern Hemisphere stratosphere","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Stratosphere; Predictability; Quasi-biennial oscillation; Northern Hemisphere; Oscillation (cell signaling); Climatology; Momentum (technical analysis); Southern Hemisphere; Flux (metallurgy); Southern oscillation; Environmental science; Atmospheric sciences; Geology; Physics; El Niño Southern Oscillation; Biology; Economics","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":[0.0001773892,0.000147417,0.0001300218,0.0002351982,0.0004779381,0.0006250023,0.000186197,0.0002686688,0.001506533],"category_scores_gemma":[0.0005078502,0.00008861173,0.0001693379,0.0002641275,0.0004331902,0.0003674482,0.0006862503,0.0004339296,0.0002915896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004179444,"about_ca_system_score_gemma":0.0004049543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007777743,"about_ca_topic_score_gemma":0.009243116,"domain_scores_codex":[0.999868,0.00001365203,0.000007484862,0.00003482592,0.00004075548,0.0000351648],"domain_scores_gemma":[0.9996986,0.00001433329,0.0001346368,0.00002637578,0.00004448319,0.0000815811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009322834,0.0001891792,0.7800311,0.000229326,0.0002686711,0.00238885,0.001460022,0.00399536,0.134256,0.00861454,0.01646655,0.05116803],"study_design_scores_gemma":[0.00002943182,0.0001156363,0.9666204,0.0000366139,0.00004593576,0.0006125808,0.0005156792,0.006350054,0.003301235,0.001896127,0.02044724,0.00002910625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855835,0.001069503,0.00294316,0.0007618773,0.00026478,0.00002303804,0.0009550402,0.0002322658,0.008166745],"genre_scores_gemma":[0.9984329,0.000172407,0.0003958782,0.0001191483,0.00004502822,0.000005214542,0.0003775481,0.00001133056,0.0004404475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007777743,"threshold_uncertainty_score":0.01546496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393299822911743,"score_gpt":0.218842116070709,"score_spread":0.2049091178415916,"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."}}