{"id":"W2012378586","doi":"10.1007/s11069-014-1468-x","title":"Use of four drought indices for evaluating drought characteristics under climate change in Shaanxi, China: 1951–2012","year":2014,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Evapotranspiration; Environmental science; Precipitation; Climatology; Climate change; Estimator; Index (typography); Mathematics; Statistics; Meteorology; Geography; Geology; Ecology; Biology","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":[0.001063684,0.0002290422,0.0004319459,0.0001088323,0.0001648112,0.00003116773,0.0002888178,0.0002350667,0.0005144722],"category_scores_gemma":[0.0002572614,0.0001937326,0.0001550605,0.0004106505,0.000170574,0.0007805109,0.0002082374,0.0003103223,0.0000760544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001104497,"about_ca_system_score_gemma":0.00001084586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004458656,"about_ca_topic_score_gemma":0.001368126,"domain_scores_codex":[0.9980173,0.0001750386,0.0004543271,0.0004146679,0.0004076132,0.0005310347],"domain_scores_gemma":[0.9990533,0.0002409955,0.0003062485,0.000299409,0.0000224466,0.00007757403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005072668,0.0003521142,0.709736,0.0001891869,0.0001478086,0.00001316496,0.002583574,0.001611709,0.009098555,0.002036437,0.0007309456,0.2729932],"study_design_scores_gemma":[0.0006592878,0.0001675583,0.7984194,0.00004565081,0.0001128147,0.000006344325,0.0000161271,0.1960927,0.0004994489,0.001094371,0.002572668,0.0003136787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975277,0.0001270365,0.0003687203,0.0006348718,0.0003244528,0.0003409756,0.0000461412,0.00003203839,0.0005980398],"genre_scores_gemma":[0.9960383,0.00005485095,0.002565243,0.0006985071,0.0001771442,0.00006184301,0.00006807318,0.00002276494,0.0003132937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2726795,"threshold_uncertainty_score":0.7900186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916856650442273,"score_gpt":0.3073725047886764,"score_spread":0.2682039382842537,"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."}}