{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005079327,0.0001381854,0.0001538762,0.000002724013,0.0004938851,0.00001347041,0.0002018855,0.00002783241,0.001359302],"category_scores_gemma":[0.00005822855,0.0001630152,0.0000358274,0.0002497988,0.0000330036,0.0001231591,0.0002415856,0.0002774149,0.00000766727],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006118692,"about_ca_system_score_gemma":0.0002697357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951336,"about_ca_topic_score_gemma":0.9738095,"domain_scores_codex":[0.9980711,0.0001888554,0.0003434879,0.0003190505,0.0007164393,0.0003610548],"domain_scores_gemma":[0.9994632,0.00006997287,0.0001271088,0.0002302209,0.000009703406,0.00009977466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009128156,0.00003913487,0.8018789,0.000004213144,0.000006226296,0.000009166375,0.001514073,0.1926364,0.001176053,0.000001647548,0.0001937819,0.002531253],"study_design_scores_gemma":[0.0005460172,0.00002862817,0.9808183,0.00002290221,0.00001222614,0.000004916943,0.005855127,0.004430963,0.001106892,0.00004147764,0.00677841,0.000354187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976263,0.00003219953,0.0001123945,0.00006229967,0.0006759451,0.0001350281,0.00001065057,0.00002657836,0.001318619],"genre_scores_gemma":[0.9866954,4.209039e-7,0.01167287,0.00005072307,0.00004891236,0.00002877217,0.000004900774,0.00001723108,0.001480752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1882054,"threshold_uncertainty_score":0.9995536,"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."}}