{"id":"W4292249441","doi":"10.1029/2022ef002797","title":"Deciphering China's Complex Pattern of Summer Precipitation Trends","year":2022,"lang":"en","type":"article","venue":"Earth s Future","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Precipitation; Climatology; China; Environmental science; Forcing (mathematics); Climate change; Homogeneous; Surface air temperature; Atmospheric circulation; Atmospheric sciences; Geography; Meteorology; Geology; Oceanography","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":[0.0001621208,0.00006783279,0.00008915555,0.00002030053,0.0001357398,0.000006863494,0.0001280499,0.00002227455,0.03139292],"category_scores_gemma":[0.000002987982,0.00006632109,0.00004863953,0.0001783821,0.00003473452,0.00008095332,0.0001810567,0.0001087702,0.00002810647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002752064,"about_ca_system_score_gemma":0.000002790377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002966494,"about_ca_topic_score_gemma":0.0003416053,"domain_scores_codex":[0.9992763,0.00006016651,0.0001306191,0.0001697933,0.0002329706,0.0001301228],"domain_scores_gemma":[0.9997154,0.00001493374,0.00005516204,0.0001768505,0.000002167372,0.00003541754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009110493,0.0005156075,0.3720199,0.00004350457,0.00003388144,0.000006769542,0.01730631,0.2031644,0.03394259,0.0003503429,0.00988343,0.3626422],"study_design_scores_gemma":[0.0002403563,0.00008233117,0.888911,0.000002017358,0.00000700052,0.000003121061,0.0003522166,0.007700768,0.000172593,0.0001356648,0.1022871,0.0001057969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876223,0.00001587633,0.000377354,0.0005174534,0.0001921819,0.00006694546,0.00005154368,0.00002194693,0.01113441],"genre_scores_gemma":[0.998579,0.000003916186,0.000610363,0.0001355118,0.00005325714,0.00001288647,0.00004976229,0.000007159579,0.0005481998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5168911,"threshold_uncertainty_score":0.9694925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005126169666509,"score_gpt":0.2416825812028197,"score_spread":0.2216313195061546,"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."}}