{"id":"W4396633202","doi":"10.5194/gmd-17-3579-2024","title":"Validation and analysis of the Polair3D v1.11 chemical transport model over Quebec","year":2024,"lang":"en","type":"article","venue":"Geoscientific model development","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; Université de Montréal; University of Victoria; Environment and Climate Change Canada; University of Toronto","funders":"Health Canada","keywords":"Air quality index; Environmental science; Air pollution; Ozone; Chemical transport model; Pollutant; Pollution; Nitrogen dioxide; Atmospheric sciences; Spatial variability; Meteorology; Climatology; Geography; Geology; Statistics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002868153,0.000125319,0.0001626767,0.00002594428,0.0001376386,0.00006853931,0.0001898022,0.0000623133,0.0004116868],"category_scores_gemma":[0.000005837416,0.00008624544,0.00009771637,0.0007235932,0.0001269577,0.0001085629,0.00002036352,0.00007894102,0.000006178213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000142681,"about_ca_system_score_gemma":0.0002976149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101584,"about_ca_topic_score_gemma":0.001977902,"domain_scores_codex":[0.9987251,0.00000995981,0.0002864642,0.0003934613,0.0003827302,0.0002023569],"domain_scores_gemma":[0.9996235,0.00002201041,0.00004716653,0.0001999646,0.00002668229,0.00008066429],"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":[0.0000214317,0.000055014,0.1243923,0.0002034265,0.0003698984,0.000003855873,0.00484354,0.8217269,0.02841815,0.0002728273,0.0008918011,0.01880089],"study_design_scores_gemma":[0.00004899756,9.518751e-7,0.04828556,0.00002283527,0.0001385727,9.425914e-7,0.00002674056,0.9392147,0.01146095,0.0001436355,0.0005313224,0.0001247934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727477,0.0001156621,0.02609839,0.00008260124,0.0001582865,0.00008783911,0.00020326,0.00002066953,0.0004856276],"genre_scores_gemma":[0.9872376,0.000005818204,0.00507241,0.00003605532,0.00000861953,0.000001969173,0.0003422379,0.000002689784,0.007292565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1174878,"threshold_uncertainty_score":0.4507682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01317052359985445,"score_gpt":0.2030925035945421,"score_spread":0.1899219799946876,"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."}}