{"id":"W4390388724","doi":"10.1016/j.advwatres.2023.104613","title":"Hydrological drought characterization considering onset, maximum streamflow deficit, and termination","year":2023,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Environment","funders":"","keywords":"Streamflow; Environmental science; Percentile; Climatology; Hydrology (agriculture); Statistics; Geography; Mathematics; Geology; Cartography; Drainage basin","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":[0.0006240011,0.000322821,0.0004285639,0.001703281,0.0003298488,0.0005415487,0.0002449941,0.0002573679,0.0009373637],"category_scores_gemma":[0.0007044509,0.0001426892,0.0003486151,0.0009702515,0.0001387546,0.0006545644,0.0002793494,0.0002599834,0.0001464489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190346,"about_ca_system_score_gemma":0.0005180849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022535,"about_ca_topic_score_gemma":0.003333146,"domain_scores_codex":[0.9998502,0.00002110469,0.00001836849,0.00003618627,0.0000281031,0.00004605944],"domain_scores_gemma":[0.9995802,0.0001046186,0.00008690583,0.00003433488,0.0001093746,0.00008455427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001388858,0.0003978556,0.5646783,0.0001648777,0.0002448164,0.0006743431,0.000294882,0.1899312,0.09854724,0.00200431,0.003303576,0.1383697],"study_design_scores_gemma":[0.00004039781,0.0001553164,0.4256098,0.00001057014,0.00009680307,0.000175983,0.0002324503,0.5598068,0.01163324,0.0009427996,0.001251537,0.00004432754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638809,0.00008179538,0.03235077,0.00004149056,0.00001288698,0.0000391291,0.001937281,0.0003255124,0.001330317],"genre_scores_gemma":[0.9943008,0.00003385287,0.00379457,0.000004237317,0.00001193571,0.00001854185,0.001504083,0.00001588151,0.0003160285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0022535,"threshold_uncertainty_score":0.00448072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007197457733014921,"score_gpt":0.2276237599474574,"score_spread":0.2204263022144425,"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."}}