{"id":"W2138884861","doi":"10.1002/qj.416","title":"Intercomparison of model simulations of mixed‐phase clouds observed during the ARM Mixed‐Phase Arctic Cloud Experiment. I: single‐layer cloud","year":2009,"lang":"en","type":"article","venue":"Quarterly Journal of the Royal Meteorological Society","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":414,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Liquid water path; Liquid water content; Environmental science; Parametrization (atmospheric modeling); Atmospheric sciences; Cloud physics; Cloud top; Meteorology; Cloud computing; Ice cloud; Physics; Radiative transfer; Optics; Aerosol","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":[0.0008180346,0.0003370852,0.0006840629,0.000003326826,0.0003410941,0.00004149723,0.001121194,0.000220495,0.0005837511],"category_scores_gemma":[0.00008742719,0.0001836443,0.001107907,0.0003001456,0.0006118989,0.0001546369,0.0001578875,0.0006524371,0.00000506198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002537962,"about_ca_system_score_gemma":0.00002504022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004612521,"about_ca_topic_score_gemma":0.000007849851,"domain_scores_codex":[0.9967175,0.0004153708,0.001283875,0.0003031244,0.0008016535,0.0004784667],"domain_scores_gemma":[0.9976826,0.0002632746,0.001245407,0.0005323546,0.0000805645,0.0001957924],"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":[0.001754548,0.01112541,0.01100266,0.00005282454,0.0005100736,0.00001355128,0.01105606,0.5046968,0.4414908,0.0003982999,0.002672908,0.01522609],"study_design_scores_gemma":[0.01741819,0.03166891,0.08481346,0.0002983269,0.001145039,0.00009427031,0.01056851,0.7293527,0.1036857,0.0188434,0.0007106662,0.001400811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881485,0.0002749443,0.009930273,0.000721122,0.0004845546,0.0002674779,0.00001430682,0.00001663893,0.0001421761],"genre_scores_gemma":[0.995022,0.000008904149,0.004379945,0.0002392521,0.0002062774,0.000003647844,0.000001117256,0.00001739203,0.0001214529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3378051,"threshold_uncertainty_score":0.7488799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943777805658623,"score_gpt":0.2813741958735398,"score_spread":0.2419364178169536,"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."}}