{"id":"W4297038138","doi":"10.5194/hess-2022-96-ac14","title":"Reply on CC1","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Global Institute for Water Security","funders":"Global Institute for Water Security, University of Saskatchewan","keywords":"Span (engineering); Evapotranspiration; Life span; Mathematics; Precipitation; Fertilizer; Mean squared error; Statistics; Irrigation; Moisture; Environmental science; Hydrology (agriculture); Meteorology; Physics; Agronomy; Geology; Ecology; Engineering","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":[0.002013061,0.0008195325,0.0009863329,0.001100583,0.002485923,0.00345699,0.002522758,0.01842384,0.2723886],"category_scores_gemma":[0.02578705,0.0004485676,0.001185009,0.000827547,0.00161568,0.002738469,0.002326824,0.01461525,0.1606445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002956795,"about_ca_system_score_gemma":0.002701911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006465073,"about_ca_topic_score_gemma":0.007726485,"domain_scores_codex":[0.9980255,0.0003667752,0.000213932,0.0003408437,0.0006820626,0.0003709147],"domain_scores_gemma":[0.9940201,0.00172378,0.0002226961,0.0003357565,0.002715966,0.0009817663],"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":[0.00001149338,0.000002922151,0.00003507419,0.00001406992,0.000001172445,0.00005175085,0.000006308266,0.00000387197,0.00001376032,0.0002477088,0.997326,0.002285898],"study_design_scores_gemma":[0.00001353454,0.000008711389,0.0001946473,0.00006356892,0.000002457514,0.00008775474,0.0000465207,0.00002799401,0.00005492054,0.0005082774,0.9989826,0.000009094714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002917677,0.001934771,0.0003184869,0.681774,0.2521975,0.0001735919,0.001244369,0.0006276959,0.06143799],"genre_scores_gemma":[0.00380996,0.001436299,0.0002725877,0.6885518,0.08043302,0.0002508085,0.0006626642,0.0003426542,0.2242402],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2723886,"threshold_uncertainty_score":0.9112308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04792625943305558,"score_gpt":0.2954688617724277,"score_spread":0.2475426023393721,"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."}}