{"id":"W3041902783","doi":"10.5194/amt-14-869-2021","title":"What millimeter-wavelength radar reflectivity reveals about snowfall: an information-centric analysis","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jet Propulsion Laboratory","keywords":"Snow; Environmental science; Radar; Remote sensing; Meteorology; Geology; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00105381,0.0002927326,0.0004789878,0.00002021189,0.0004590534,0.0004797969,0.000302569,0.0001171098,0.001848598],"category_scores_gemma":[0.0002188669,0.0002614503,0.0002347131,0.002681586,0.00006033601,0.002265733,0.00003836697,0.0001847229,0.00005129687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007462749,"about_ca_system_score_gemma":0.0001496509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050598,"about_ca_topic_score_gemma":0.006586928,"domain_scores_codex":[0.9972242,0.000233582,0.0006059032,0.0004318219,0.001028766,0.0004757072],"domain_scores_gemma":[0.9980478,0.00008982401,0.0002669551,0.0006498191,0.0007510027,0.0001946472],"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":[0.0000319427,0.0001568041,0.3524215,0.00005255036,0.0008979773,0.00001822337,0.0006641493,0.0002800846,0.0002458927,0.00008394763,0.005607494,0.6395395],"study_design_scores_gemma":[0.0002343232,0.0002182928,0.9079927,0.00006168299,0.0005291445,0.000007450082,0.001148731,0.00431115,0.001343785,0.0007368604,0.08286311,0.0005527204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7911298,0.02631836,0.1544369,0.003683403,0.002547358,0.002654567,0.0001813101,0.002471939,0.01657634],"genre_scores_gemma":[0.8770056,0.00704268,0.1131627,0.002084874,0.0001408692,0.00003007406,0.0003361339,0.0000105986,0.0001864757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6389868,"threshold_uncertainty_score":0.9999838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03782169283165764,"score_gpt":0.2512044069616077,"score_spread":0.21338271412995,"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."}}