{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003437588,0.0002056855,0.0001987489,0.001253691,0.0002542393,0.0004336119,0.0001535215,0.0001647726,0.0006272445],"category_scores_gemma":[0.0004231508,0.0001206967,0.0001825355,0.001642847,0.0001972736,0.0003833764,0.0002835201,0.0001776633,0.00008711951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833026,"about_ca_system_score_gemma":0.0006167567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03953816,"about_ca_topic_score_gemma":0.06231377,"domain_scores_codex":[0.9999218,0.00001187603,0.000006698507,0.00002539984,0.00001418515,0.00002003485],"domain_scores_gemma":[0.9997593,0.00003851394,0.00006962226,0.00002699812,0.00006086174,0.00004468842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005307622,0.00001718621,0.9605173,0.00005514765,0.0000895245,0.0001639182,0.000737118,0.002725642,0.01220931,0.0005893931,0.0007493031,0.02209297],"study_design_scores_gemma":[0.000001359358,0.000006918458,0.9961094,0.000003430144,0.00000766238,0.00001249506,0.0001290733,0.002763585,0.0002271522,0.00009427546,0.0006408864,0.000003790789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979156,0.0001576495,0.000281814,0.0001417777,0.000005817367,0.000003988137,0.0004692359,0.00001409008,0.001010047],"genre_scores_gemma":[0.9990532,0.0001119375,0.0002059274,0.00001786689,0.000009512373,0.000002540229,0.0004438874,0.000003262602,0.0001518298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03953816,"threshold_uncertainty_score":0.07861602,"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."}}