{"id":"W4281264636","doi":"10.5194/hess-2022-96-cc2","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":"","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":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009471682,0.0008001971,0.0007413194,0.001021259,0.001011715,0.00450927,0.001538553,0.007020716,0.2163768],"category_scores_gemma":[0.005453372,0.0003739977,0.0009632384,0.001933705,0.0006629381,0.002048813,0.001242555,0.004394084,0.1134295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255001,"about_ca_system_score_gemma":0.002542156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04286058,"about_ca_topic_score_gemma":0.03771133,"domain_scores_codex":[0.9993045,0.0000745004,0.00004602719,0.00009296171,0.0003680843,0.0001138697],"domain_scores_gemma":[0.9981345,0.0003523616,0.00007481543,0.0002475255,0.001057032,0.0001336225],"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":[0.00003011932,0.000003424814,0.00005574298,0.0000526806,0.000002674739,0.00002723612,0.00000466578,0.00008585116,0.00006858871,0.0008238926,0.99597,0.002875177],"study_design_scores_gemma":[0.00001800311,0.000004836782,0.0007469011,0.00006024494,0.000003147006,0.00001093249,0.00002211554,0.0001243486,0.0001886827,0.0008657325,0.9979429,0.00001224859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001597791,0.002617088,0.001744877,0.1949437,0.1817144,0.0005066278,0.1378832,0.005059812,0.4739324],"genre_scores_gemma":[0.02158379,0.002343377,0.00188542,0.1415469,0.0284651,0.0006583493,0.03588028,0.002208913,0.7654278],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2163768,"threshold_uncertainty_score":0.7238523,"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."}}