{"id":"W4225975083","doi":"10.5194/amt-15-927-2022","title":"Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms","year":2022,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Goddard Space Flight Center; Stony Brook University; Nuclear Safety and Security Commission; National Center for Atmospheric Research; Environment and Climate Change Canada; Colorado State University; National Aeronautics and Space Administration","keywords":"Radiometer; Environmental science; Radar; Remote sensing; Computer science; Algorithm; Meteorology; Bayesian probability; Cloud computing; Artificial intelligence; Geology; Geography","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":[0.006056758,0.001353652,0.0009461566,0.002022455,0.000468214,0.001172638,0.001275528,0.00115243,0.0006243566],"category_scores_gemma":[0.00734169,0.0006832435,0.00128242,0.00103561,0.0005238871,0.001602869,0.001633724,0.0007712204,0.0002329425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008445064,"about_ca_system_score_gemma":0.001246971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008938525,"about_ca_topic_score_gemma":0.008124417,"domain_scores_codex":[0.9984755,0.0006501451,0.00009954347,0.0001921373,0.0004549527,0.000127841],"domain_scores_gemma":[0.9963956,0.002174789,0.0003500993,0.0002471553,0.000688479,0.0001438802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004514282,0.0003864081,0.02377386,0.0001041632,0.0005040206,0.00003982326,0.00005856315,0.8680534,0.004802723,0.002049845,0.0003859072,0.09938985],"study_design_scores_gemma":[0.00002741193,0.00008525931,0.001468009,0.000005369358,0.00004039855,0.0000113689,0.000008556783,0.9966494,0.001214698,0.0003743563,0.0001031223,0.00001200734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6004319,0.001171294,0.391961,0.0002981817,0.00005115537,0.0003029415,0.0003168841,0.0007369919,0.004729669],"genre_scores_gemma":[0.8304838,0.0001881011,0.1679862,0.0001055411,0.00002986543,0.0001294671,0.0005284272,0.00005257301,0.0004960328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008938525,"threshold_uncertainty_score":0.0320316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756750213808975,"score_gpt":0.2349803374006481,"score_spread":0.2174128352625583,"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."}}