{"id":"W4390468400","doi":"10.5194/hess-2023-189-rc2","title":"Comment on hess-2023-189","year":2023,"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 Lethbridge","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Deutscher Akademischer Austauschdienst; Universität Potsdam; GAVI Alliance","keywords":"Environmental science; Climate change; Dry season; Evaporation; Potential evaporation; Water resources; Hydrology (agriculture); Dry climate; Water supply; Atmospheric sciences; Physical geography; Geography; Meteorology; Ecology; Environmental engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00135279,0.0007930396,0.0007144701,0.001077882,0.001206589,0.004033489,0.001665996,0.009153849,0.173372],"category_scores_gemma":[0.007240814,0.0003746224,0.00132445,0.001882662,0.00071523,0.002167132,0.001291832,0.005845614,0.09786513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396315,"about_ca_system_score_gemma":0.002866803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03332184,"about_ca_topic_score_gemma":0.02739642,"domain_scores_codex":[0.9991048,0.0001120439,0.00006732986,0.0001151691,0.0004427722,0.000157893],"domain_scores_gemma":[0.9978244,0.0005354253,0.00009295672,0.0002604526,0.001128216,0.0001585929],"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":[0.00002686346,0.000003307873,0.00005399069,0.00005090152,0.000002713706,0.00003789504,0.000006115511,0.00006568815,0.00006161028,0.001317974,0.9960088,0.002364099],"study_design_scores_gemma":[0.000019556,0.000005376706,0.0007477686,0.0000736713,0.000004448888,0.00002035926,0.00003280544,0.0001140902,0.000201273,0.001520222,0.9972436,0.00001679997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001443492,0.002744085,0.001391395,0.3235971,0.2101669,0.0003852263,0.07985836,0.003291937,0.3771215],"genre_scores_gemma":[0.02245927,0.002522926,0.00160926,0.3727248,0.0389875,0.000686879,0.01953324,0.001630934,0.5398453],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.173372,"threshold_uncertainty_score":0.579987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826301359958598,"score_gpt":0.2896221149950011,"score_spread":0.2513591013954152,"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."}}