{"id":"W3208211668","doi":"10.5194/tc-15-5079-2021","title":"Review article: Performance assessment of radiation-based field sensors for monitoring the water equivalent of snow cover (SWE)","year":2021,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Center for Northern Studies; Université de Sherbrooke","funders":"Environment and Climate Change Canada; Hydro-Québec; European Space Agency; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Université Laval","keywords":"Environmental science; Snow; Remote sensing; Snowpack; Snow cover; Radar; Snowmelt; Meteorology; Geology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.001703191,0.0009589873,0.001256864,0.002778538,0.0002447914,0.001690212,0.001098633,0.001762495,0.002578467],"category_scores_gemma":[0.002568048,0.00033825,0.0004904853,0.00447611,0.0003917524,0.001502195,0.0004743467,0.0005987743,0.001766914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005124408,"about_ca_system_score_gemma":0.001132585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174167,"about_ca_topic_score_gemma":0.001340498,"domain_scores_codex":[0.9990128,0.0001457584,0.0001084772,0.0003304998,0.0003566187,0.00004585544],"domain_scores_gemma":[0.996376,0.00121937,0.0003287502,0.0000671666,0.001924869,0.00008378515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002499302,0.0001453675,0.001263867,0.03619864,0.0002775707,0.0001512749,0.0001295774,0.001500435,0.01025154,0.00156583,0.02678911,0.9214769],"study_design_scores_gemma":[0.00005836119,0.001789526,0.009699428,0.01121399,0.001190035,0.001412192,0.0004277464,0.002525898,0.0182386,0.0009979102,0.9522677,0.0001785749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003419966,0.9908711,0.00144815,0.0002758256,0.000843031,0.00003576707,0.0001527297,0.00002835797,0.00292498],"genre_scores_gemma":[0.01474346,0.9791335,0.001753306,0.000392131,0.0009431471,0.00004465782,0.0004411829,0.00002183205,0.002526633],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002778538,"threshold_uncertainty_score":0.009007454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632644271213928,"score_gpt":0.2693553977707706,"score_spread":0.2430289550586313,"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."}}