{"id":"W1586366360","doi":"","title":"Testing of Cloud Microphysics Scheme with Snow Events","year":2008,"lang":"en","type":"article","venue":"EGUGA","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weather Research and Forecasting Model; Snow; Environmental science; Meteorology; Graupel; Global Precipitation Measurement; Satellite; Radiance; Advanced Microwave Sounding Unit; Remote sensing; Cloud cover; Precipitation; Cloud computing; Computer science; Geography","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":[0.00005148922,0.00005601296,0.00009504555,0.00001650102,0.0001022993,0.000002650238,0.00008264719,0.00002050724,0.0005320178],"category_scores_gemma":[0.00005337349,0.00003746025,0.00001855028,0.0001789283,0.0000622877,0.00005221714,0.000004455308,0.00005401149,0.00009176578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.902692e-7,"about_ca_system_score_gemma":0.00002075847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569014,"about_ca_topic_score_gemma":0.00001897587,"domain_scores_codex":[0.9995372,0.00002215612,0.0001017413,0.00009929125,0.0001175318,0.0001220841],"domain_scores_gemma":[0.9996137,0.0001609261,0.00004892715,0.00009395589,0.00003265719,0.00004980332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001165602,0.0000138365,0.9943283,0.000003240595,0.000005906031,0.000004282283,0.00006294929,0.003432117,0.000364955,0.00005097612,0.00005368183,0.001668155],"study_design_scores_gemma":[0.0001861105,0.0002002601,0.9961372,0.00000846836,0.0000042446,0.000006205921,0.00001165749,0.001372125,0.0002320872,0.001210071,0.000556557,0.00007499614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985328,0.00005007074,0.00009891314,0.00002511906,0.00005402695,0.00005245454,0.00001346667,0.00001609286,0.01436188],"genre_scores_gemma":[0.9888366,0.000002073225,0.01079658,0.00006474672,0.00007641422,2.065499e-7,0.00001851572,0.000001336753,0.0002035007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01415838,"threshold_uncertainty_score":0.5825222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04328127500271076,"score_gpt":0.2149245410381823,"score_spread":0.1716432660354715,"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."}}