{"id":"W4293414962","doi":"10.3390/app12178576","title":"Evaluation of Different Chemical Mechanisms on O3 and PM2.5 Predictions in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; Alberta Environment and Protected Areas; University of Calgary","funders":"","keywords":"CMAQ; Ozone; Environmental science; Particulates; Atmospheric sciences; Aerosol; Air quality index; Environmental chemistry; Sulfate; Daytime; Chemical transport model; Pollutant; Meteorology; Chemistry; Ecology; Biology; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001289474,0.001147501,0.0003749774,0.0007666989,0.0009712629,0.001203319,0.001460608,0.0006328902,0.0007359974],"category_scores_gemma":[0.001323834,0.0004618409,0.0006694726,0.0006300741,0.0003795575,0.0003906785,0.0004303195,0.0003134739,0.000123652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01399541,"about_ca_system_score_gemma":0.01115583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9640013,"about_ca_topic_score_gemma":0.951082,"domain_scores_codex":[0.9996215,0.00004704805,0.0000149267,0.00009901184,0.000134291,0.00008325856],"domain_scores_gemma":[0.9992892,0.0001626782,0.00004649892,0.00002229162,0.0004062554,0.00007321461],"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":[0.0003390685,0.0001086151,0.2017523,0.00008126973,0.0001509629,0.0001558195,0.000113091,0.7774362,0.004445989,0.0005149348,0.001191375,0.01371046],"study_design_scores_gemma":[0.00006828484,0.00005421894,0.06924061,0.00001674362,0.00005439731,0.00001536854,0.0001125517,0.9266843,0.002684788,0.0001301253,0.0009023697,0.0000361622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934141,0.0002168512,0.001928409,0.0001980877,0.00001507261,0.0000364603,0.001293032,0.000232544,0.00266544],"genre_scores_gemma":[0.9964973,0.00007993689,0.001737222,0.00002783949,0.000003357064,0.000008554888,0.0009370076,0.00001967087,0.0006891037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0359987,"threshold_uncertainty_score":0.1015443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01553152954984017,"score_gpt":0.2059589821280983,"score_spread":0.1904274525782581,"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."}}