{"id":"W4200543773","doi":"10.5194/gmd-2021-275-rc2","title":"Comment on gmd-2021-275","year":2021,"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":"Université Laval; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Office of International Science and Engineering; Lamont-Doherty Earth Observatory, Columbia University; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; European Commission; Ministère des Forêts, de la Faune et des Parcs; Hydro-Québec; Manitoba Hydro; National Science Foundation","keywords":"Snow; Black spruce; Snowpack; Water cycle; Environmental science; Taiga; Atmospheric sciences; Physical geography; Meteorology; Ecology; Geology; Forestry; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001551994,0.0009781804,0.0009235558,0.001434408,0.001874186,0.004288522,0.002317361,0.01687073,0.3177423],"category_scores_gemma":[0.009436013,0.0004895782,0.001375598,0.001628036,0.001170205,0.002294319,0.001851242,0.008310751,0.245157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003761586,"about_ca_system_score_gemma":0.003746511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04807636,"about_ca_topic_score_gemma":0.04647662,"domain_scores_codex":[0.9986758,0.00007818462,0.00007666676,0.0001400188,0.0007619538,0.0002673843],"domain_scores_gemma":[0.9966393,0.0006482324,0.0001469155,0.0003309324,0.001753591,0.0004809824],"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":[0.00002530924,0.00001133978,0.00003873472,0.00003991554,0.000001195464,0.00003267984,0.000005152557,0.00002799996,0.00006774888,0.0006048784,0.9950858,0.004059206],"study_design_scores_gemma":[0.00001903277,0.000008216928,0.0004034332,0.00004744058,0.00000148981,0.00001076524,0.0000115141,0.00004872937,0.00007617967,0.0004339852,0.9989309,0.000008330406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008809356,0.001444402,0.001253264,0.1880216,0.2166063,0.0008173447,0.03318437,0.006742169,0.5510497],"genre_scores_gemma":[0.003820952,0.0006964349,0.0009531141,0.2630938,0.02191014,0.0004877885,0.006847784,0.001369583,0.7008204],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3177423,"threshold_uncertainty_score":0.9731578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05670817059720813,"score_gpt":0.2741967111331627,"score_spread":0.2174885405359546,"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."}}