{"id":"W4406916143","doi":"10.1016/b978-0-443-14030-3.00010-3","title":"Toward a breakthrough in convection parameterization using multiscale and multicloud modeling constrained by observations—Part I: Motivation and model development","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Convection; Development (topology); Computer science; Mathematics; Meteorology; Physics; Mathematical analysis","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001829553,0.0003255779,0.0003822565,0.0001642701,0.0001036684,0.00009184058,0.0001500551,0.0002220895,0.000001086354],"category_scores_gemma":[0.00008445435,0.0003635234,0.00003085224,0.00003919024,0.00005701427,0.0002782506,0.0001968241,0.0002535208,7.502029e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001737643,"about_ca_system_score_gemma":0.00009984911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.887005e-7,"about_ca_topic_score_gemma":0.000002433465,"domain_scores_codex":[0.9983883,0.00001566703,0.0006212101,0.0005581374,0.0002005494,0.0002161178],"domain_scores_gemma":[0.9993083,0.0001282513,0.0001476336,0.000242918,0.000104727,0.00006812581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009184856,0.00002761457,0.000008595129,0.000715268,0.00005977931,0.000004355473,0.002483719,0.4657375,0.001583894,0.01936986,0.00000335719,0.5099969],"study_design_scores_gemma":[0.0003290353,0.000008293151,0.000001240087,0.0009597844,0.00001750271,0.000007314792,0.000008091752,0.9781678,0.00009392131,0.01966494,0.0004177484,0.0003243216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003017735,0.0001972415,0.9822299,0.00003054771,0.0001056387,0.0005606875,0.000007776576,0.000121911,0.0137285],"genre_scores_gemma":[0.03587441,0.00005860914,0.9187543,0.0001178521,0.00002293585,0.00006547834,0.00002793844,0.00004846806,0.04502998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5124303,"threshold_uncertainty_score":0.9998817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06053123516643162,"score_gpt":0.2530141647658452,"score_spread":0.1924829295994135,"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."}}