{"id":"W2010177216","doi":"10.1007/s11270-006-9326-4","title":"A Synoptic Climatological Approach to Assess Climatic Impact on Air Quality in South-central Canada. Part II: Future Estimates","year":2006,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; Impact; Toronto Public Health; McMaster University; Environment and Climate Change Canada","funders":"Health Canada","keywords":"Environmental science; Downscaling; Air quality index; Air pollution; Ozone; Pollutant; Climatology; Pollution; Meteorology; Climate change; Air pollutant concentrations; Atmospheric sciences; Air pollutants; Precipitation; Geography","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":[0.0002853511,0.0002805314,0.000350353,0.00001126386,0.0002445148,0.00003980507,0.0001955448,0.0001433069,0.00021918],"category_scores_gemma":[0.00002273547,0.0001733604,0.00009089309,0.0001909429,0.00006003218,0.0001326049,0.00002304372,0.0002334716,0.00005547874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009020571,"about_ca_system_score_gemma":0.000141755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1299934,"about_ca_topic_score_gemma":0.08507667,"domain_scores_codex":[0.99788,0.0001040494,0.0004251237,0.0004106085,0.0003459262,0.0008342551],"domain_scores_gemma":[0.9994254,0.00004128928,0.00007529575,0.0002268691,0.00001845637,0.0002126636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000239963,0.0002232679,0.5651307,0.0001073596,0.00002188901,0.00003790273,0.0005321463,0.4309207,0.0003519588,0.00006779609,0.001801857,0.0005644558],"study_design_scores_gemma":[0.0004270776,0.0001141785,0.9802276,0.0000442203,0.00001714564,0.0000250199,0.0004007564,0.01579455,0.002071331,0.0001667125,0.0003211994,0.0003902062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956332,0.00005170557,0.0001190619,0.0008375381,0.0002203167,0.0002111734,0.0001639226,0.00005745294,0.002705625],"genre_scores_gemma":[0.9980168,0.000001797066,0.0006021818,0.0004533688,0.0002832955,0.000006961845,0.0004974038,0.000005493454,0.0001327357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4151262,"threshold_uncertainty_score":0.9316183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862600828191688,"score_gpt":0.2343233316703257,"score_spread":0.2156973233884089,"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."}}