{"id":"W1991856678","doi":"10.1175/mwr-d-12-00087.1","title":"Monitoring and Predicting the Intraseasonal Variability of the East Asian–Western North Pacific Summer Monsoon","year":2012,"lang":"en","type":"article","venue":"Monthly Weather Review","topic":"Climate variability and models","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Empirical orthogonal functions; Climatology; Hindcast; Outgoing longwave radiation; Environmental science; East Asia; East Asian Monsoon; Meteorology; Monsoon; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001560969,0.0001542337,0.000233471,0.000004861499,0.0001701715,0.00001688707,0.000282603,0.00004282609,0.0002154052],"category_scores_gemma":[0.0001505369,0.000082289,0.0001005252,0.0001738554,0.0002431204,0.000210741,0.0002978048,0.0001849521,0.00002196695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006391142,"about_ca_system_score_gemma":0.00000752155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001135889,"about_ca_topic_score_gemma":0.00004639123,"domain_scores_codex":[0.998527,0.0003424234,0.0003181357,0.0002322737,0.0002928864,0.0002872894],"domain_scores_gemma":[0.9990662,0.000109976,0.0001407186,0.0005784316,0.000009351065,0.00009529269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002547795,0.00007545235,0.9885395,0.0002392961,0.000009885449,9.74616e-8,0.001167931,0.00003014993,0.00006647695,0.00001326403,0.00004566522,0.009809738],"study_design_scores_gemma":[0.00007911091,0.00001135201,0.9874602,0.0006736207,0.000108629,0.000003511991,0.0001554773,0.000181302,0.00003847832,0.00007363629,0.011098,0.0001167178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980455,0.01373475,0.0000275144,0.001139758,0.0001637119,0.0007207703,0.00003384088,0.00001923379,0.00370546],"genre_scores_gemma":[0.9975604,0.002063371,0.00008297197,0.00009294233,0.00007222462,0.0000538326,0.000001399037,0.0000125303,0.00006029757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01710548,"threshold_uncertainty_score":0.3355648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141410328452329,"score_gpt":0.2494912259729481,"score_spread":0.2180771226884248,"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."}}