{"id":"W4206569981","doi":"10.5194/tc-2021-225-ac1","title":"Reply on RC1","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":"","funders":"Center for Neuroscience and Regenerative Medicine; Environment and Climate Change Canada; Agence Nationale de la Recherche; European Commission","keywords":"Snowpack; Data assimilation; Snow; Environmental science; Meteorology; Terrain; Mean squared error; Climatology; Mathematics; Statistics; Geography; Geology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002766766,0.0009658857,0.001096445,0.001079202,0.002798906,0.004112912,0.003143779,0.02432323,0.1536153],"category_scores_gemma":[0.03187616,0.0005405198,0.001406267,0.0008297785,0.001994142,0.003639884,0.002545225,0.02053732,0.1202992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003736879,"about_ca_system_score_gemma":0.003133111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006490391,"about_ca_topic_score_gemma":0.005957625,"domain_scores_codex":[0.9972551,0.000536942,0.0003179093,0.0005555424,0.0008682979,0.0004661246],"domain_scores_gemma":[0.9931247,0.002193717,0.0002761878,0.0005359919,0.002909054,0.0009603943],"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":[0.0000136076,0.00000395446,0.0000388293,0.00001883834,0.000002000944,0.00007567636,0.00001289011,0.000005062125,0.00002749484,0.0003694683,0.9969392,0.002492963],"study_design_scores_gemma":[0.00001117877,0.000008428834,0.0001642001,0.00006107487,0.000003076899,0.00008243814,0.00006114527,0.00002573074,0.00008109785,0.0005127588,0.9989793,0.000009558219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002865309,0.001815437,0.0003402136,0.7552236,0.2091531,0.0001437275,0.000823602,0.0004659055,0.03174793],"genre_scores_gemma":[0.003582686,0.001307863,0.0002807458,0.8019498,0.07181453,0.0002440777,0.0003650571,0.0003031651,0.1201521],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8463846,"threshold_uncertainty_score":0.5138944,"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."}}