{"id":"W4226019025","doi":"10.5194/amt-14-7243-2021","title":"Triple-frequency radar retrieval of microphysical properties of snow","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; University of Leicester; Sight Research UK; National Aeronautics and Space Administration; European Space Agency; National Centre for Earth Observation; Natural Environment Research Council; Idaho Operations Office, U.S. Department of Energy","keywords":"Snow; Radar; Remote sensing; Environmental science; Meteorology; Range (aeronautics); Precipitation; Computer science; Geology; Geography; Materials 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":[0.000384648,0.000309582,0.0003364137,0.000586903,0.0001358481,0.0004852072,0.0002596571,0.0002504163,0.0004604821],"category_scores_gemma":[0.0009625234,0.0001551542,0.0002806976,0.000275091,0.00009894475,0.0003951856,0.0003075595,0.0003083084,0.0003967281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267258,"about_ca_system_score_gemma":0.0003044304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179905,"about_ca_topic_score_gemma":0.001516331,"domain_scores_codex":[0.9998915,0.00001424861,0.000006010945,0.00003421892,0.00003797969,0.00001601672],"domain_scores_gemma":[0.9996514,0.00009010389,0.00006795219,0.00004981152,0.0001167886,0.00002393851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003835447,0.0001433859,0.04556176,0.0001333017,0.0001512379,0.0001390025,0.0001503486,0.1131441,0.3486129,0.002197739,0.001856576,0.4875262],"study_design_scores_gemma":[0.00002253737,0.000100349,0.02721358,0.00001121658,0.00003367115,0.0001732556,0.00002995414,0.9269955,0.04314393,0.0009795593,0.001274521,0.00002199872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4366381,0.0003153245,0.5597209,0.00005773263,0.00004605841,0.00004486576,0.0004297313,0.001204484,0.001542871],"genre_scores_gemma":[0.8081697,0.0001211627,0.1902925,0.00002622151,0.00002411901,0.0000313104,0.0007310896,0.00005311146,0.0005508203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001179905,"threshold_uncertainty_score":0.002346158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238554630949654,"score_gpt":0.216062935539315,"score_spread":0.1736773892298185,"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."}}