{"id":"W4253443606","doi":"10.5194/hess-2021-186-rc1","title":"Comment on hess-2021-186","year":2021,"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":"Golder Associates (Canada); Ministry of Environment; University of Saskatchewan; Environment and Climate Change Canada","funders":"Global Water Futures","keywords":"Precipitation; Climate change; Elevation (ballistics); Snow; Structural basin; Grassland; Span (engineering); Environmental science; Climate model; Global warming; Drainage basin; Climatology; Hydrology (agriculture); Physical geography; Geography; Geology; Meteorology; Ecology; Mathematics; Oceanography","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":[0.001240594,0.0008484231,0.0008978115,0.001165377,0.001354702,0.005255961,0.001733348,0.009703412,0.2681435],"category_scores_gemma":[0.007066335,0.0004353128,0.001249044,0.00227317,0.0007375937,0.002511277,0.001662002,0.005464566,0.1512328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002859747,"about_ca_system_score_gemma":0.003645266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03371671,"about_ca_topic_score_gemma":0.0283765,"domain_scores_codex":[0.9990035,0.0001101897,0.000068033,0.0001191732,0.0005048877,0.0001942345],"domain_scores_gemma":[0.9979299,0.0004785725,0.00008767999,0.0002545107,0.001073404,0.0001758766],"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":[0.00002545801,0.000004051431,0.00005745845,0.00005345862,0.000002186288,0.00003479803,0.000005936975,0.00006203071,0.00004685469,0.00102396,0.9963471,0.002336684],"study_design_scores_gemma":[0.00002305031,0.000005768236,0.0008680539,0.00007756375,0.000003439966,0.00001610575,0.00003958525,0.0001103856,0.0001627144,0.001304212,0.9973738,0.00001538463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001471888,0.002161869,0.001070204,0.2583044,0.1640783,0.0005252741,0.1236324,0.003585389,0.4451701],"genre_scores_gemma":[0.01614895,0.001909334,0.001154545,0.2279937,0.02567196,0.0008839064,0.03098048,0.0017265,0.6935306],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2681435,"threshold_uncertainty_score":0.8970293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0270965378897629,"score_gpt":0.2756891380798926,"score_spread":0.2485926001901297,"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."}}