{"id":"W4210408769","doi":"10.5194/tc-2021-354-cc2","title":"Comment on tc-2021-354","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":"Université Laval","funders":"Global Water Futures; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Environment and Climate Change Canada; Hydro-Québec","keywords":"Snow; Water equivalent; Environmental science; Meteorology; Statistics; Hydrology (agriculture); Remote sensing; Mathematics; Geology; Geography; Geotechnical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00616608,0.001290876,0.001275446,0.00138299,0.003817003,0.004843828,0.004937859,0.04949508,0.02731736],"category_scores_gemma":[0.02363148,0.0007014089,0.002602657,0.002364812,0.002141428,0.002842142,0.00179235,0.02541305,0.02492871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01235133,"about_ca_system_score_gemma":0.02649487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2956499,"about_ca_topic_score_gemma":0.2530534,"domain_scores_codex":[0.9924981,0.0005448789,0.0005880314,0.0005855983,0.004454314,0.001329098],"domain_scores_gemma":[0.9857183,0.003098276,0.0005956779,0.0005545944,0.008956471,0.001076723],"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":[0.0000506742,0.00002402622,0.0002756327,0.00007062879,0.000006967547,0.0001430051,0.00005139726,0.00007850843,0.0002598267,0.002093267,0.9948305,0.002115549],"study_design_scores_gemma":[0.00003658724,0.00002585478,0.001684588,0.0001699006,0.00001995754,0.00004941584,0.0001434535,0.0002130131,0.0003881585,0.001355337,0.9958638,0.00005001264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001919203,0.00245355,0.001142196,0.7317577,0.136865,0.0005612108,0.0156721,0.001290764,0.1083383],"genre_scores_gemma":[0.004812895,0.0007193668,0.0008662576,0.906521,0.0126094,0.0003861042,0.002565965,0.0002293687,0.07128962],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9726827,"threshold_uncertainty_score":0.5878581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05620207245026986,"score_gpt":0.2713983844804305,"score_spread":0.2151963120301606,"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."}}