{"id":"W4281709052","doi":"10.5194/hess-2022-113-ac3","title":"Reply on CC1","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":"University of Waterloo","funders":"","keywords":"Evapotranspiration; Span (engineering); Streamflow; Range (aeronautics); Environmental science; Watershed; Domain (mathematical analysis); Hydrology (agriculture); Meteorology; Computer science; Drainage basin; Mathematics; Geology; Geography; Cartography; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002617137,0.0008108914,0.00104698,0.001136134,0.003056324,0.004639333,0.00269467,0.02111453,0.2829176],"category_scores_gemma":[0.02967774,0.0004584577,0.001456646,0.001025072,0.001728798,0.003263391,0.002658869,0.01605899,0.181187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003570334,"about_ca_system_score_gemma":0.003942593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007609278,"about_ca_topic_score_gemma":0.009109947,"domain_scores_codex":[0.9974204,0.0003946518,0.0002719665,0.0004340843,0.001002364,0.0004765504],"domain_scores_gemma":[0.9924095,0.001967412,0.0002587059,0.0004796765,0.003767418,0.001117267],"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":[0.000009115729,0.000002992993,0.00002885453,0.00001286727,0.000001000179,0.00003280951,0.000006120606,0.000004123006,0.00001512904,0.0003265136,0.9974225,0.002138048],"study_design_scores_gemma":[0.00001205593,0.000007293704,0.0001650538,0.00005799162,0.000002110184,0.00004537473,0.00004670716,0.00002860763,0.00005745265,0.0005655416,0.9990029,0.000009017498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002932803,0.001321381,0.0004166252,0.6608347,0.2611717,0.0002272012,0.001795965,0.000825537,0.07311363],"genre_scores_gemma":[0.00312039,0.0009873369,0.0003629337,0.6987227,0.0689263,0.000329696,0.0007568789,0.0004490802,0.2263447],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2829176,"threshold_uncertainty_score":0.9464538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230864480859766,"score_gpt":0.2668525089919416,"score_spread":0.243766060905965,"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."}}