{"id":"W4403499620","doi":"10.5194/egusphere-2024-2958","title":"Implementation of the MOSAIC Aerosol Module (v1.0) in the Canadian Air Quality Model GEM-MACH (v3.1) ","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Mosaic; Aerosol; Mach number; Quality (philosophy); Air quality index; Environmental science; Meteorology; Computer science; Aerospace engineering; Physics; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000474043,0.000173177,0.000168265,0.00008305426,0.00007883185,0.00004087456,0.0004568559,0.0001634418,0.00007377265],"category_scores_gemma":[0.000004361854,0.0001048303,0.00009556397,0.0001921771,0.00002188531,0.0000356983,0.0001973533,0.0007231921,0.00001342494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428088,"about_ca_system_score_gemma":0.000339978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2724777,"about_ca_topic_score_gemma":0.6787707,"domain_scores_codex":[0.9989281,0.00004683864,0.0003693059,0.0001841147,0.0002260926,0.0002455228],"domain_scores_gemma":[0.999294,0.00002000945,0.0000383231,0.0005637766,0.00002908572,0.00005481424],"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":[9.219192e-7,0.000006147734,0.001496077,0.0003742818,0.00002372142,6.350293e-7,0.002079409,0.985837,0.0002297237,0.001479368,0.005477714,0.002994947],"study_design_scores_gemma":[0.0000956865,0.000003391995,0.00635425,0.00008085712,0.0000153462,0.000001061461,0.0004742102,0.9877804,0.002388776,0.002105884,0.0005250153,0.0001751245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866828,0.0002100225,0.0005117548,0.001409536,0.0004178944,0.0005615818,0.0003422622,0.00009704036,0.009767073],"genre_scores_gemma":[0.9989842,0.00004267288,0.0002574087,0.0001654575,0.00004594885,0.00008599277,0.00004455223,0.00003063064,0.0003431847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.406293,"threshold_uncertainty_score":0.732367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03154823678281111,"score_gpt":0.308197244556577,"score_spread":0.2766490077737659,"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."}}