{"id":"W4297019870","doi":"10.5194/tc-2022-89-ac2","title":"Reply on RC2","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"U.S. Geological Survey; Mitacs; BC Hydro; European Space Agency","keywords":"Snowmelt; Snowpack; Snow; Environmental science; Watershed; Structural basin; Water year; Remote sensing; Synthetic aperture radar; Meltwater; Drainage basin; Climatology; Hydrology (agriculture); Geology; Meteorology; Geography; Geomorphology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002489993,0.0008930098,0.000941033,0.001079539,0.002192282,0.00415866,0.002387979,0.01541109,0.1301523],"category_scores_gemma":[0.02606096,0.0003866534,0.001007734,0.0007692999,0.001682146,0.003622754,0.001936635,0.01316993,0.1097944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002811868,"about_ca_system_score_gemma":0.00306316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005456694,"about_ca_topic_score_gemma":0.007082798,"domain_scores_codex":[0.997526,0.000411156,0.000270301,0.0004547915,0.001022827,0.000314963],"domain_scores_gemma":[0.9929907,0.001643714,0.0002503478,0.0004857146,0.003542534,0.001086901],"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":[0.000009283691,0.000003460933,0.00003291392,0.00001889714,0.000001449352,0.00006799005,0.000008700676,0.000004738919,0.00002315297,0.0003375541,0.996533,0.002958855],"study_design_scores_gemma":[0.000005838666,0.00000467952,0.000133755,0.00003959441,0.000001722103,0.00007423102,0.00003602252,0.00001297646,0.00003905784,0.0002917701,0.9993547,0.000005757901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002928336,0.003032654,0.0002598815,0.5991739,0.3580644,0.0001298489,0.0005475892,0.0003592981,0.0381396],"genre_scores_gemma":[0.003693597,0.003052745,0.0003386488,0.6113847,0.1374372,0.0002227782,0.0004109832,0.0003099862,0.2431495],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8698477,"threshold_uncertainty_score":0.435403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470876542512811,"score_gpt":0.2690869716956473,"score_spread":0.2143782062705192,"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."}}