{"id":"W2910383284","doi":"10.1002/hyp.13386","title":"A framework for quantifying the impacts of climate change and human activities on hydrological drought in a semiarid basin of Northern China","year":2019,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Surface runoff; Climate change; Environmental science; Water cycle; Hydrology (agriculture); Drainage basin; Climatology; Structural basin; Infiltration (HVAC); Water resources; Hydrological modelling; Meteorology; Geology; Geography; Ecology","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":[0.000621299,0.0002038655,0.0004985746,0.0000586914,0.0001375213,0.0000125973,0.000287655,0.0002813897,0.0003349101],"category_scores_gemma":[0.0003347618,0.000118796,0.00009571051,0.0004285717,0.0005484199,0.0001697294,0.0001882075,0.0003080371,0.00001531817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367444,"about_ca_system_score_gemma":0.00000781466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002553404,"about_ca_topic_score_gemma":0.0009684447,"domain_scores_codex":[0.9984917,0.0001305939,0.0003442165,0.0004185291,0.0002112009,0.0004037652],"domain_scores_gemma":[0.9986334,0.000806413,0.0002538725,0.0002446921,0.000008922851,0.00005263971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004458149,0.000348762,0.9917922,0.000213972,0.0000255747,0.000004824312,0.001375914,0.001200769,0.001878338,0.002019779,0.000004022395,0.0006900353],"study_design_scores_gemma":[0.001553226,0.004435758,0.9002573,0.0002905132,0.0001504878,0.00002029857,0.0003696975,0.008071127,0.008667621,0.07515525,0.0003951686,0.0006335456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969659,0.0001881793,0.00007811522,0.0007941682,0.00001982579,0.0004660107,0.00001458324,0.00002214054,0.001451022],"genre_scores_gemma":[0.9989962,0.0001925897,0.0002040714,0.0004692814,0.00002854825,0.00008364223,0.000005540533,0.00001058588,0.000009543169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09153489,"threshold_uncertainty_score":0.484436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03747420829045713,"score_gpt":0.2931018676230257,"score_spread":0.2556276593325686,"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."}}