{"id":"W4206754223","doi":"10.3390/atmos13010083","title":"Air Quality Measurements in Kitchener, Ontario, Canada Using Multisensor Mini Monitoring Stations","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Héma-Québec; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Air quality index; Environmental science; Particulates; Air pollution; Air pollutants; Meteorology; Remote sensing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212439,0.0004270601,0.000246207,0.0007645816,0.001859638,0.0008255977,0.0006901299,0.0002640621,0.001625336],"category_scores_gemma":[0.0005494166,0.000326721,0.0002506801,0.001974826,0.0002730755,0.0003620098,0.0005138267,0.0003575481,0.0003052657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01414491,"about_ca_system_score_gemma":0.01706244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918619,"about_ca_topic_score_gemma":0.9977641,"domain_scores_codex":[0.9993873,0.0000265963,0.00001860949,0.0001405023,0.0003368328,0.00009019295],"domain_scores_gemma":[0.9993357,0.0000305383,0.00005048102,0.00002313812,0.0004992576,0.00006078457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006488916,0.0003413219,0.7570944,0.0006562977,0.0002609831,0.0005252633,0.004528838,0.01725129,0.04826118,0.001106115,0.01915128,0.1501742],"study_design_scores_gemma":[0.00003899605,0.0001007173,0.9617657,0.00005809907,0.00004537404,0.00004305139,0.001673689,0.01773029,0.004072529,0.0001132338,0.01430455,0.00005366623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598591,0.0006079451,0.005136628,0.0003705493,0.00003008638,0.0003251121,0.01540241,0.000387188,0.01788097],"genre_scores_gemma":[0.9702713,0.0004872225,0.01067255,0.0001073419,0.000008892944,0.0001137393,0.005303233,0.00003575227,0.01299988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414491,"threshold_uncertainty_score":0.102629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08810227294215091,"score_gpt":0.2925239088591048,"score_spread":0.2044216359169539,"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."}}