{"id":"W7129186087","doi":"","title":"GSDD, A Catchment Scale Global Streamflow Drought Database based on Observed Daily Discharge","year":2025,"lang":"","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Surface runoff; Hydrology (agriculture); Scale (ratio); Drainage basin; Water resources; Metadata; Geological survey","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107762,0.001139106,0.001019416,0.003536668,0.0005012323,0.00143925,0.001767392,0.0009938197,0.03631083],"category_scores_gemma":[0.003887644,0.0005103197,0.000664537,0.007284611,0.0002574447,0.001236784,0.001191239,0.001372839,0.03455103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335204,"about_ca_system_score_gemma":0.002703965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03646496,"about_ca_topic_score_gemma":0.04623547,"domain_scores_codex":[0.9991915,0.0001026633,0.0001371161,0.0002403129,0.000204874,0.0001236414],"domain_scores_gemma":[0.9981391,0.0003865898,0.0002731639,0.0002794586,0.0007138178,0.0002077539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005889331,0.00001953128,0.002510461,0.0004967593,0.00002819261,0.0000385005,0.00003436337,0.0005353466,0.0001632235,0.001014784,0.9916441,0.003455852],"study_design_scores_gemma":[0.0002219452,0.00001876035,0.01640512,0.0003713134,0.00002972175,0.0000689338,0.0001429568,0.001338921,0.00054065,0.001714503,0.9791034,0.0000437652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001169236,0.00001332513,0.00005430089,0.00002467687,0.00000862729,0.000007286966,0.9994172,0.00006943785,0.0002882407],"genre_scores_gemma":[0.0002999714,0.0000201063,0.0001959589,0.00001597697,0.000003461914,0.0000431842,0.9991761,0.00002239376,0.0002229647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03646496,"threshold_uncertainty_score":0.1214718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05051845914619106,"score_gpt":0.3349463110809088,"score_spread":0.2844278519347177,"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."}}