{"id":"W2401137647","doi":"10.1007/s00704-016-1827-5","title":"Spatiotemporal variability of four precipitation-based drought indices in Xinjiang, China","year":2016,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Evapotranspiration; Precipitation; Aridity index; Environmental science; Climatology; Arid; Sunshine duration; Spatial variability; Relative humidity; Atmospheric sciences; Geography; Meteorology; Ecology; Geology; Biology; Mathematics","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":[0.0006030334,0.0002548574,0.000276327,0.001016906,0.0003877773,0.0005489638,0.0002983507,0.0002716556,0.0004117245],"category_scores_gemma":[0.0007157162,0.0001978174,0.0001984871,0.001512598,0.0003427438,0.0003678672,0.0003665934,0.0001791138,0.00005858942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007556663,"about_ca_system_score_gemma":0.0004366548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122421,"about_ca_topic_score_gemma":0.01486824,"domain_scores_codex":[0.9998145,0.0000249837,0.00002565772,0.00005946281,0.0000338741,0.0000416659],"domain_scores_gemma":[0.999442,0.0001114808,0.0001884948,0.00003947668,0.0001069583,0.0001114911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002543404,0.00006988567,0.980052,0.00003876363,0.0001843769,0.000272831,0.0006599358,0.004123713,0.006010489,0.0004635288,0.0004252675,0.007444878],"study_design_scores_gemma":[0.000006047662,0.0000319828,0.995955,0.00000244349,0.00002992096,0.00003595912,0.0001809045,0.003209059,0.0002307556,0.0000482621,0.0002632009,0.000006419072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995988,0.00002507113,0.00007123074,0.00001552336,0.000002664221,0.000001525164,0.0001793802,0.000003237375,0.000102639],"genre_scores_gemma":[0.9994751,0.00002264288,0.00005223628,0.000003371324,0.000003701015,0.000003673573,0.0003291842,7.062056e-7,0.0001094585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122421,"threshold_uncertainty_score":0.0243417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004412808877391341,"score_gpt":0.2162126800828383,"score_spread":0.211799871205447,"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."}}