{"id":"W2101549461","doi":"10.1175/2009jas3029.1","title":"Arctic Mixed-Phase Stratiform Cloud Properties from Multiple Years of Surface-Based Measurements at Two High-Latitude Locations","year":2009,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; U.S. Department of Energy; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Radiosonde; Environmental science; Liquid water content; Cloud base; Atmospheric sciences; Lidar; Arctic; Precipitation; Cloud height; Cloud top; Radar; Cloud fraction; Depth sounding; Climatology; Meteorology; Geology; Cloud computing; Remote sensing; Satellite; Cloud cover; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006469908,0.0001496713,0.0002481008,7.064289e-7,0.000331343,0.00005239413,0.0009549151,0.00003953585,0.0005331344],"category_scores_gemma":[0.0001487098,0.00009217146,0.0001492543,0.0005336098,0.0006710073,0.0003184868,0.000101357,0.0001292241,0.00002319711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654969,"about_ca_system_score_gemma":0.0001255791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121736,"about_ca_topic_score_gemma":0.0003447809,"domain_scores_codex":[0.9977355,0.0001013349,0.0005321353,0.000205753,0.001164336,0.0002609217],"domain_scores_gemma":[0.9987622,0.00008288366,0.0007042586,0.0002865146,0.00005257592,0.0001115805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008459145,0.0003800555,0.1968741,0.000003521299,0.00002616098,0.000002835133,0.0003718291,0.7169678,0.08052515,0.00001056369,0.0004722932,0.004281062],"study_design_scores_gemma":[0.004064864,0.001487276,0.8344039,0.0002680086,0.0001639285,0.00002294075,0.0009023289,0.1022523,0.05398009,0.001470451,0.0005144959,0.000469397],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975599,0.0002463742,0.0006514938,0.0007275456,0.000498816,0.0001599595,0.000002909984,0.000008305585,0.0001447191],"genre_scores_gemma":[0.9686592,0.00001256923,0.03091101,0.0002460105,0.00006098207,0.000001142692,3.068488e-7,0.000006537929,0.0001022243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6375299,"threshold_uncertainty_score":0.5837448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322974937005153,"score_gpt":0.2561319496981426,"score_spread":0.2238344559976273,"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."}}