{"id":"W4200001706","doi":"10.5194/hess-2021-391-rc1","title":"Comment on hess-2021-391","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrometeorology; Forcing (mathematics); Precipitation; Quantitative precipitation forecast; Environmental science; Reliability (semiconductor); Lead time; Climatology; Streamflow; Meteorology; Computer science; Quality (philosophy); Drainage basin; Geography; 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":[0.001826102,0.0008009204,0.0007663458,0.001094589,0.001495884,0.003241935,0.001867995,0.01143331,0.137964],"category_scores_gemma":[0.01119708,0.0003835809,0.001261298,0.001756157,0.001051896,0.002178147,0.001349484,0.006919096,0.0766191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00317631,"about_ca_system_score_gemma":0.003837902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06347609,"about_ca_topic_score_gemma":0.05118506,"domain_scores_codex":[0.9985134,0.0001763428,0.0001171136,0.000166,0.0008228862,0.0002042187],"domain_scores_gemma":[0.9960933,0.001149365,0.0001653624,0.0004055484,0.001966207,0.0002201654],"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":[0.00002137799,0.000003105294,0.00006068299,0.00004440454,0.000002243662,0.00003520399,0.00001291999,0.00004949798,0.0000784312,0.0007246393,0.9971349,0.00183241],"study_design_scores_gemma":[0.00001620522,0.000006473102,0.0008768557,0.0000794758,0.0000049711,0.00001688902,0.00005786047,0.0001101033,0.000253107,0.0009002748,0.9976594,0.0000182641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00171081,0.00220798,0.001419744,0.5153382,0.2051332,0.0003384968,0.04411831,0.003379512,0.2263537],"genre_scores_gemma":[0.02226682,0.002429212,0.001912085,0.452404,0.04669778,0.0005626028,0.01394997,0.001518439,0.4582591],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.137964,"threshold_uncertainty_score":0.4615356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02621109242667328,"score_gpt":0.2748435003322398,"score_spread":0.2486324079055665,"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."}}