{"id":"W4280609611","doi":"10.5194/hess-2022-96-cc1","title":"Comment on hess-2022-96","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 Guelph; University of Saskatchewan; Global Institute for Water Security","funders":"","keywords":"Environmental science; Evapotranspiration; Food security; Water content; Agriculture; Precipitation; Climate change; Scale (ratio); Agricultural engineering; Population; Meteorology; Geography; Engineering; Cartography; Ecology","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":[0.00214984,0.0009733824,0.0008782797,0.0009580658,0.001219897,0.004858423,0.001928025,0.01275707,0.06029682],"category_scores_gemma":[0.008201288,0.0004004097,0.001205864,0.00188128,0.0009387822,0.002592133,0.001541151,0.006856484,0.03711737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002490579,"about_ca_system_score_gemma":0.004780272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0353316,"about_ca_topic_score_gemma":0.02818904,"domain_scores_codex":[0.9986529,0.0001685848,0.0001014983,0.0001856317,0.0006946762,0.0001965634],"domain_scores_gemma":[0.9973276,0.0005611307,0.000114784,0.0003544888,0.00143376,0.0002083197],"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":[0.00007830396,0.000009049943,0.0001677682,0.0001230967,0.000008632313,0.00009824778,0.00001337473,0.0003296381,0.0001904674,0.003031567,0.9893889,0.006561018],"study_design_scores_gemma":[0.00002135341,0.000008140303,0.0009548402,0.00008141535,0.000007237982,0.00002716951,0.00003537018,0.0002510803,0.000307321,0.002514629,0.9957672,0.00002415043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002627594,0.005961886,0.002652007,0.3928293,0.1968967,0.0003895918,0.07866534,0.003469463,0.316508],"genre_scores_gemma":[0.0383356,0.003995293,0.003735834,0.4898531,0.03779272,0.0009075518,0.0281955,0.001373825,0.3958106],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06029682,"threshold_uncertainty_score":0.201713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552102161671418,"score_gpt":0.2712824878934731,"score_spread":0.2457614662767589,"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."}}