{"id":"W4206501368","doi":"10.5194/hess-2021-236-ac13","title":"Reply on RC2( This is the finalized response to reviewer 2)","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":"Environment and Climate Change Canada; École de Technologie Supérieure","funders":"","keywords":"Climate model; Streamflow; Climate change; Environmental science; Climatology; Precipitation; Diurnal cycle; Quantile; Scale (ratio); Meteorology; Computer science; Econometrics; Geography; Mathematics; Geology; Drainage basin","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01032614,0.001160532,0.001668607,0.002295049,0.003688203,0.005895225,0.003787342,0.01946901,0.119681],"category_scores_gemma":[0.1274662,0.0007925629,0.002376747,0.001544314,0.002179006,0.004301311,0.003844375,0.01578855,0.07521474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00562444,"about_ca_system_score_gemma":0.007030596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008938981,"about_ca_topic_score_gemma":0.009785216,"domain_scores_codex":[0.9899563,0.002568144,0.001197057,0.001249133,0.003787579,0.001241804],"domain_scores_gemma":[0.939823,0.01358662,0.002025091,0.002176611,0.03866607,0.003722667],"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":[0.00001115715,0.000001742336,0.00003522063,0.00003320285,0.000002900912,0.0000232382,0.00001125631,0.000004462373,0.00001401597,0.0001130613,0.998821,0.0009286326],"study_design_scores_gemma":[0.00003785464,0.00001638929,0.0005423402,0.0002618977,0.00001483917,0.0001111807,0.0001307378,0.00007215517,0.0001063692,0.0008071958,0.9978605,0.00003859876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001534332,0.0008001452,0.0004334844,0.5994378,0.390205,0.0001743273,0.001267142,0.0004225609,0.007106076],"genre_scores_gemma":[0.00278312,0.0009599822,0.0004476493,0.836651,0.1061604,0.000582703,0.0008011579,0.0005484445,0.05106542],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.880319,"threshold_uncertainty_score":0.4003729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161747027609943,"score_gpt":0.2988218295002638,"score_spread":0.2672043592241643,"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."}}