{"id":"W4410331301","doi":"10.1007/s00376-024-4246-z","title":"Sensitivity of a Kilometer-Scale Variable-Resolution Global Nonhydrostatic Model to Microphysics Schemes in Simulating a Mesoscale Convective System","year":2025,"lang":"en","type":"article","venue":"Advances in Atmospheric Sciences","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Future Earth","funders":"","keywords":"Mesoscale meteorology; Sensitivity (control systems); Meteorology; Environmental science; Scale (ratio); Mesoscale convective system; Atmospheric sciences; Climatology; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009429599,0.0001567462,0.0003652159,0.00002805474,0.0001613256,0.00003466187,0.00022582,0.0000546478,0.00002339844],"category_scores_gemma":[0.0002563647,0.0001304391,0.00004139523,0.003069278,0.0003114898,0.0004879612,0.00004221,0.0000956262,0.000005979396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005988528,"about_ca_system_score_gemma":0.0001303693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00170172,"about_ca_topic_score_gemma":0.002830668,"domain_scores_codex":[0.9981927,0.0002267947,0.000443442,0.000462218,0.0002856186,0.000389255],"domain_scores_gemma":[0.9987822,0.0008107738,0.0001289395,0.0001498829,0.00005908162,0.00006918229],"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":[0.00003413627,0.00002840276,0.2146812,0.00003929578,0.000002642746,0.0000017468,0.0001456069,0.77662,0.0002568075,0.001939188,7.43892e-7,0.006250221],"study_design_scores_gemma":[0.0002543915,0.0001149144,0.04167687,0.0001273592,0.000006548472,7.402508e-7,0.0006780257,0.9464847,0.00005991773,0.01044136,0.00002464516,0.000130466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384212,0.0007263981,0.1512544,0.00004911538,0.0001730116,0.0003227266,0.00003952729,0.00002579772,0.008987792],"genre_scores_gemma":[0.8656614,0.00001082771,0.1341709,0.0001175034,0.000009009241,0.000004785056,0.000003334604,0.000001240365,0.00002105381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730044,"threshold_uncertainty_score":0.5319152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201167020450826,"score_gpt":0.2670128419478277,"score_spread":0.2550011717433194,"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."}}