{"id":"W3005051560","doi":"10.1175/jhm-d-19-0183.1","title":"Meteorological Drought Migration in the Poyang Lake Basin, China: Switching among Different Climate Modes","year":2020,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences; Changjiang River Scientific Research Institute; Key Programme; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Precipitation; Climatology; Environmental science; Structural basin; Common spatial pattern; Spatial ecology; Cluster (spacecraft); Climate change; Geography; Meteorology; Geology; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001352189,0.0002232015,0.0005867457,0.0001246017,0.0001656663,0.00003450226,0.000630943,0.0002125687,0.001258191],"category_scores_gemma":[0.0002423071,0.0001306085,0.0002806935,0.0005001202,0.000217994,0.000385643,0.0001669691,0.000795993,0.00006657997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004724575,"about_ca_system_score_gemma":0.000007415454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008690396,"about_ca_topic_score_gemma":0.002000147,"domain_scores_codex":[0.9972922,0.0008396438,0.0007383195,0.000289505,0.0003899118,0.0004504137],"domain_scores_gemma":[0.9989477,0.0002412618,0.0004717623,0.0001906251,0.00001001128,0.0001386215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003305184,0.0002140892,0.9646688,0.000008262041,0.0001089127,0.0004641953,0.003302221,0.01898248,0.009666407,0.0001960157,0.0008120891,0.001245991],"study_design_scores_gemma":[0.0009576982,0.001236773,0.9467565,0.000008301089,0.0002321901,0.0003098782,0.0002491477,0.04441967,0.0004689918,0.002660287,0.002465129,0.0002353698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840865,0.000143193,0.001364699,0.01320599,0.00009131576,0.0001073264,0.0000026529,0.00001399342,0.0009843532],"genre_scores_gemma":[0.9963214,0.000198433,0.0003396949,0.00297354,0.0001356171,0.000006169547,0.000004618857,0.00001138594,0.000009139529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02543719,"threshold_uncertainty_score":0.9996548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114238244980875,"score_gpt":0.2239713845836241,"score_spread":0.2128290021338153,"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."}}