{"id":"W4225117845","doi":"10.5194/hess-2022-113-rc1","title":"Comment on hess-2022-113","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Environment and Climate Change Canada; University of Waterloo","funders":"Global Water Futures; National Oceanic and Atmospheric Administration; Canada First Research Excellence Fund; Compute Canada","keywords":"Evapotranspiration; Streamflow; Range (aeronautics); Span (engineering); Environmental science; Watershed; Domain (mathematical analysis); Meteorology; Hydrology (agriculture); Computer science; Drainage basin; Mathematics; Geology; Geography; Cartography; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001541798,0.0008746214,0.001004958,0.001286989,0.001377974,0.005093041,0.001977833,0.01086197,0.1852987],"category_scores_gemma":[0.01072454,0.0004305066,0.001537385,0.002504124,0.001037897,0.002560788,0.001586584,0.007240136,0.112465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002984913,"about_ca_system_score_gemma":0.003596611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03656725,"about_ca_topic_score_gemma":0.02614201,"domain_scores_codex":[0.9985152,0.0001470009,0.0001085707,0.0001762691,0.0008340777,0.0002189009],"domain_scores_gemma":[0.997076,0.0006914445,0.0001287454,0.0003466159,0.001560658,0.0001965477],"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":[0.00002216729,0.000003639903,0.00004460972,0.00003843721,0.000002156429,0.00003167837,0.000005586784,0.00004959853,0.00004647148,0.0008285223,0.9974602,0.001467069],"study_design_scores_gemma":[0.00002704451,0.000006673003,0.0009111434,0.00007887296,0.000004842982,0.00001693253,0.00004613,0.0001448357,0.0002201594,0.001537209,0.996987,0.00001909937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001138524,0.001655363,0.001321295,0.4042158,0.2468778,0.000447759,0.08393341,0.004106635,0.2563035],"genre_scores_gemma":[0.01781208,0.002237286,0.001933402,0.396832,0.04898138,0.0008612459,0.0268828,0.002216084,0.5022438],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1852987,"threshold_uncertainty_score":0.6198859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502358807258785,"score_gpt":0.2711697719211379,"score_spread":0.24614618384855,"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."}}