{"id":"W4249163005","doi":"10.5194/hess-2021-350-rc1","title":"Comment on hess-2021-350","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; China Scholarship Council; Australian National University; McGill University","keywords":"Water storage; Precipitation; Environmental science; Streamflow; Mediterranean climate; Hydrology (agriculture); Structural basin; Water resources; Drainage basin; Resilience (materials science); Water resource management; Geography; Geology; Oceanography; Meteorology; Ecology; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003379724,0.0008214782,0.0008452756,0.001840092,0.002213366,0.004788172,0.002376097,0.01509353,0.1023487],"category_scores_gemma":[0.01940148,0.0004739616,0.001091986,0.002176423,0.001150618,0.003909285,0.001662031,0.007105583,0.06673878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416937,"about_ca_system_score_gemma":0.006817601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03430736,"about_ca_topic_score_gemma":0.03100527,"domain_scores_codex":[0.9971963,0.0002504394,0.0001988049,0.0002375395,0.001763977,0.0003529122],"domain_scores_gemma":[0.9899001,0.002429407,0.0003723121,0.0008061641,0.005836242,0.0006558478],"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":[0.00001108091,0.000003287111,0.00004620941,0.00004424189,0.00000152099,0.00005150167,0.000008935782,0.00004485557,0.00004662111,0.001463853,0.9955604,0.002717597],"study_design_scores_gemma":[0.00000999761,0.000003966752,0.0005126016,0.00005306534,0.000002551347,0.00002231859,0.00003160018,0.00007442389,0.0001210625,0.001053417,0.9980983,0.00001671756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001355987,0.003265409,0.001445682,0.536642,0.1875574,0.0004291573,0.02814841,0.003818222,0.2373377],"genre_scores_gemma":[0.01691189,0.003437099,0.002006753,0.4534611,0.05075851,0.0007954735,0.012706,0.001547272,0.4583759],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1023487,"threshold_uncertainty_score":0.3423905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433436369248862,"score_gpt":0.2986599300746475,"score_spread":0.2743255663821589,"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."}}