{"id":"W2901918644","doi":"10.1109/igarss.2018.8517821","title":"Snowex 2017 In-Situ Passive Microwave Measurements: Analysis of WET Snow Microwave Emission","year":2018,"lang":"en","type":"article","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Northern Studies","funders":"","keywords":"Radiometer; Snow; Microwave radiometer; Microwave; Environmental science; In situ; Remote sensing; Materials science; Surface layer; Atmospheric sciences; Meteorology; Layer (electronics); Physics; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001830785,0.0004012354,0.0002640633,0.000408211,0.0002216145,0.0003069119,0.0001974462,0.0001765216,0.0007951588],"category_scores_gemma":[0.0001774539,0.0001122535,0.0001806215,0.0005030481,0.00007957787,0.0002222856,0.0001814987,0.0001366022,0.000253132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080544,"about_ca_system_score_gemma":0.0001886835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007705999,"about_ca_topic_score_gemma":0.01328079,"domain_scores_codex":[0.9999043,0.00001154035,0.000006029405,0.00002507106,0.00003558461,0.00001736319],"domain_scores_gemma":[0.9998754,0.00001371584,0.00002836196,0.00001501567,0.00005238929,0.00001502688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001369107,0.0003485114,0.6679475,0.0003402437,0.0003628778,0.0009452928,0.0009392361,0.01131403,0.2544935,0.0003510698,0.007181067,0.05440752],"study_design_scores_gemma":[0.00005504333,0.0001334152,0.932359,0.00001396292,0.00007211165,0.0001722188,0.0001792323,0.01677268,0.04072569,0.00008762183,0.009416495,0.00001249652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876006,0.00008563457,0.002743064,0.00001889832,0.00001610216,0.0000398346,0.006456804,0.0001964353,0.002842618],"genre_scores_gemma":[0.9815044,0.0001028307,0.00303788,0.00002446874,0.00003213476,0.00005854728,0.01349557,0.00005549017,0.001688656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007705999,"threshold_uncertainty_score":0.01532227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04522488453178215,"score_gpt":0.2551581291668189,"score_spread":0.2099332446350368,"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."}}