{"id":"W2158991160","doi":"10.1175/jhm439.1","title":"Multiscale Variability of the River Runoff System in China and Its Long-Term Link to Precipitation and Sea Surface Temperature","year":2005,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Chinese Academy of Meteorological Sciences; Grains Research and Development Corporation; National Aeronautics and Space Administration; National Science Foundation","keywords":"Surface runoff; Environmental science; Empirical orthogonal functions; Precipitation; Anomaly (physics); Climatology; Sea surface temperature; Hydrology (agriculture); Geology; Meteorology; 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":[],"consensus_categories":[],"category_scores_codex":[0.001291677,0.00009447326,0.0002580429,0.00004204539,0.0000494642,0.000009355617,0.0001539273,0.0001251853,0.00006266947],"category_scores_gemma":[0.000171753,0.00006450059,0.00003727175,0.0001850343,0.0001299566,0.0002123304,0.0001588506,0.0002318675,0.000003336184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001219891,"about_ca_system_score_gemma":0.00001242506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005382382,"about_ca_topic_score_gemma":0.0001818823,"domain_scores_codex":[0.9988163,0.0003007483,0.0003954209,0.0001741265,0.0001624762,0.0001508991],"domain_scores_gemma":[0.9994029,0.000157477,0.0001885649,0.0001455734,0.00002213676,0.0000833474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001199041,0.000124914,0.8692296,0.00007475877,0.00001648034,0.000004826134,0.002781944,0.03780208,0.08869588,0.00004709462,0.00002003457,0.001082551],"study_design_scores_gemma":[0.000517585,0.0001909844,0.9889052,0.00004012864,0.00002235636,0.0001314892,0.00001353802,0.008558044,0.001400462,0.0001270152,0.00002980081,0.0000633884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977383,0.00009586825,0.00004357492,0.001658392,0.0001248849,0.0002378858,0.00001114857,0.000003209977,0.00008672698],"genre_scores_gemma":[0.9988131,0.00003181824,0.001028778,0.0000601339,0.00002897095,0.000001439096,4.774511e-7,0.0000051201,0.00003017838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1196757,"threshold_uncertainty_score":0.2630258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006990994665961153,"score_gpt":0.2279377357799695,"score_spread":0.2209467411140083,"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."}}