{"id":"W4411341472","doi":"10.1029/2025gl114870","title":"Detectable Anthropogenic Influence in Mean Precipitation of China","year":2025,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"China Meteorological Administration; National Natural Science Foundation of China","keywords":"Precipitation; Environmental science; Climatology; China; Atmospheric sciences; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003323637,0.000161308,0.0001430021,0.0004827745,0.0001571052,0.0003536415,0.0001494461,0.00009016364,0.0004305234],"category_scores_gemma":[0.0008356845,0.00009107417,0.0001627437,0.0008119406,0.0002620329,0.0001786751,0.0003053422,0.0001037829,0.00003345439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121338,"about_ca_system_score_gemma":0.0004667896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614615,"about_ca_topic_score_gemma":0.01793204,"domain_scores_codex":[0.9998918,0.00002000842,0.000009088583,0.00003403498,0.00002424674,0.0000208719],"domain_scores_gemma":[0.9994803,0.0001096866,0.0001832266,0.00007228305,0.00009973891,0.00005477221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006421543,0.00001004786,0.985276,0.00002091932,0.00005668862,0.00006957886,0.00009515021,0.004506482,0.003521151,0.0002879026,0.0001675669,0.005924401],"study_design_scores_gemma":[0.000002187189,0.000008745911,0.9954318,0.000002045019,0.000007528196,0.00001353101,0.00003277086,0.003851566,0.0003854931,0.0000760804,0.0001853754,0.000003044295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992338,0.00003434231,0.0001627174,0.00002336487,0.000001556196,8.33866e-7,0.0002381015,0.00001161063,0.000293665],"genre_scores_gemma":[0.9997631,0.00001143871,0.00004398757,0.000002265574,0.000001486232,6.204129e-7,0.00015644,6.585287e-7,0.00002008194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614615,"threshold_uncertainty_score":0.03210437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150096400552354,"score_gpt":0.3247671031593627,"score_spread":0.3032661391538392,"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."}}