{"id":"W2141211529","doi":"10.1109/igarss.1999.772099","title":"Snow cover mapping capabilities using RADARSAT standard mode data","year":2003,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Norges Forskningsråd","keywords":"Snow; Snow cover; Snowmelt; Environmental science; Remote sensing; Mode (computer interface); Atmospheric sciences; Geology; Geomorphology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002891209,0.0001467379,0.0001312223,0.0006286072,0.0001258632,0.0002821847,0.0001540171,0.00006602991,0.002082204],"category_scores_gemma":[0.00050534,0.0001022197,0.0001197702,0.0006231109,0.00006144951,0.0002573951,0.0002542209,0.00006125831,0.000503308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688334,"about_ca_system_score_gemma":0.0002689158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148061,"about_ca_topic_score_gemma":0.04224846,"domain_scores_codex":[0.9998585,0.0000237826,0.00001077888,0.00003059772,0.00004166623,0.00003468287],"domain_scores_gemma":[0.9997124,0.00003994612,0.00003819724,0.00004897438,0.0001397785,0.00002061113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008514367,0.00009159902,0.519311,0.0001829026,0.0001129045,0.0003482486,0.0007141292,0.02327134,0.0648927,0.0005236463,0.009523402,0.3801766],"study_design_scores_gemma":[0.00007108154,0.0003814939,0.8640412,0.00006259979,0.000113711,0.0004728708,0.0006037993,0.07324704,0.02728141,0.0005393514,0.03314462,0.00004076431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775295,0.0001603236,0.007369706,0.00003449628,0.00001463481,0.00003647734,0.006329547,0.0007217731,0.007803502],"genre_scores_gemma":[0.9729191,0.0001289262,0.01338519,0.0000187726,0.00001210823,0.00002397607,0.01204128,0.00003677826,0.001433848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02148061,"threshold_uncertainty_score":0.0427112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0861667333587614,"score_gpt":0.2650626571261043,"score_spread":0.1788959237673429,"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."}}