{"id":"W7092189809","doi":"10.5281/zenodo.17371836","title":"REM_UQ_EXTREME","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Residual; Watershed; Flood myth; Flood forecasting; Hydrological modelling; Streamflow; Hydrology (agriculture); Uncertainty analysis; Flash flood","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003668639,0.002048739,0.001785588,0.001644316,0.0008518659,0.002978983,0.005765924,0.001751708,0.3145793],"category_scores_gemma":[0.01796054,0.002030258,0.002623319,0.001686841,0.0006885319,0.003007101,0.004178171,0.002690309,0.3155016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071148,"about_ca_system_score_gemma":0.002265938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00551069,"about_ca_topic_score_gemma":0.004709123,"domain_scores_codex":[0.9983784,0.0003878551,0.0001533085,0.0004250839,0.0005171219,0.0001382517],"domain_scores_gemma":[0.9955812,0.001611653,0.0003034699,0.001147364,0.001164713,0.0001915427],"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":[0.0001291536,0.00002588904,0.001219052,0.0007012372,0.0000978106,0.0000694609,0.0001011997,0.006605822,0.00087976,0.01180861,0.9330423,0.04531972],"study_design_scores_gemma":[0.0001889921,0.00004348857,0.001578017,0.0002737865,0.00006059746,0.0001793025,0.00004113212,0.01736238,0.004052657,0.02395142,0.9521527,0.0001155746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.001263877,0.0004298517,0.2031848,0.0007903801,0.0005673523,0.0003064747,0.3389271,0.4258584,0.02867167],"genre_scores_gemma":[0.015537,0.0006622338,0.1637855,0.001163483,0.0003025166,0.001674994,0.4112204,0.3721786,0.03347532],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3145793,"threshold_uncertainty_score":0.9776694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170739686652844,"score_gpt":0.2324456522718737,"score_spread":0.2107382554053452,"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."}}