{"id":"W2427165299","doi":"10.4209/aaqr.2015.11.0631","title":"Coupled Aerosol-Cloud Systems over Northern Vietnam during 7-SEAS/BASELInE: A Radar and Modeling Perspective","year":2016,"lang":"en","type":"article","venue":"Aerosol and Air Quality Research","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Goddard Space Flight Center; Vietnam Academy of Science and Technology; Oak Ridge Associated Universities; National Aeronautics and Space Administration","keywords":"Drizzle; Aerosol; Environmental science; Precipitation; Radar; Atmospheric sciences; Meteorology; Air quality index; Rainband; Atmosphere (unit); Climatology; Remote sensing; Geography; Geology","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":[0.002507493,0.0002940248,0.000394688,0.000006807496,0.0008668771,0.0001226825,0.0002937525,0.0001644798,0.0004085259],"category_scores_gemma":[0.0003038714,0.0002007992,0.00009848149,0.0003178189,0.0008126943,0.0003469299,0.000670147,0.0003728161,0.0001525732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003938729,"about_ca_system_score_gemma":0.00005209782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008706615,"about_ca_topic_score_gemma":0.001116516,"domain_scores_codex":[0.995959,0.0005809444,0.0004554827,0.0009468913,0.00117427,0.0008833883],"domain_scores_gemma":[0.9985108,0.0003384995,0.00008787071,0.0005016248,0.0001203415,0.0004408664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001830915,0.001033077,0.4927984,0.000629484,0.0003799442,0.0001390024,0.01230953,0.004154257,0.4734236,0.003821106,0.001424658,0.008055961],"study_design_scores_gemma":[0.03565278,0.003363555,0.2662928,0.002821215,0.0003097124,0.0004431659,0.1266389,0.5351697,0.01066686,0.00641617,0.002235645,0.009989496],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938135,0.001062796,0.001811651,0.001641845,0.00009403253,0.0005412257,0.0000265198,0.00007511165,0.0009333911],"genre_scores_gemma":[0.9963044,0.0005439609,0.000163373,0.00008340838,0.0002281146,0.00007299639,0.000002131729,0.00004153683,0.002560109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5310154,"threshold_uncertainty_score":0.9978945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04578714851666314,"score_gpt":0.3308450128759941,"score_spread":0.2850578643593309,"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."}}