{"id":"W4398205994","doi":"10.5194/egusphere-2024-1465","title":"High ice water content in tropical mesoscale convective systems (a conceptual model)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Environment and Climate Change Canada","funders":"","keywords":"Mesoscale meteorology; Convection; Environmental science; Conceptual model; Meteorology; Climatology; Geology; Geography; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938679,0.0005101431,0.000392216,0.0004334643,0.0005273115,0.001271273,0.001163682,0.001066336,0.00252672],"category_scores_gemma":[0.0004772566,0.0002619794,0.0007789462,0.000401292,0.0006199878,0.0006108086,0.0006713929,0.000543516,0.0002386607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377697,"about_ca_system_score_gemma":0.001052551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05432263,"about_ca_topic_score_gemma":0.02345573,"domain_scores_codex":[0.9999257,0.00001864976,0.000003902082,0.00002047042,0.000008347796,0.00002290869],"domain_scores_gemma":[0.9998345,0.00004870731,0.00003457702,0.00001180677,0.00003477069,0.00003560252],"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":[0.00003779591,0.00005728262,0.00374815,0.00003556583,0.00003147735,0.0001128576,0.00005698154,0.9860131,0.001486428,0.006470129,0.0004356517,0.001514564],"study_design_scores_gemma":[0.00001422127,0.0000164195,0.0006269,0.000003328848,0.000008503025,0.000007517123,0.00002483793,0.9984205,0.00006182487,0.0005004287,0.000311092,0.000004363113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216279,0.0006978463,0.04519686,0.0009502963,0.0001302827,0.0001738439,0.001994289,0.0003339217,0.02889468],"genre_scores_gemma":[0.9960459,0.0001525317,0.001841503,0.00003909352,0.00002600948,0.00007808187,0.0001941304,0.00001804358,0.001604774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05432263,"threshold_uncertainty_score":0.1080129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07105483485813453,"score_gpt":0.238551509595963,"score_spread":0.1674966747378284,"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."}}