{"id":"W2079355150","doi":"10.1080/09603123.2013.807328","title":"Air quality at outdoor community events: findings from fine particulate (PM<sub>2.5</sub>) sampling at festivals in Edmonton, Alberta","year":2013,"lang":"en","type":"article","venue":"International Journal of Environmental Health Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Particulates; Air quality index; Environmental science; Sampling (signal processing); Air pollution; Environmental engineering; Meteorology; Geography; Engineering; Ecology; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006432044,0.0002369007,0.0004604182,0.000202215,0.0006416957,0.00004098332,0.0009449629,0.000134969,0.00306142],"category_scores_gemma":[0.0009959567,0.0002162271,0.0001399911,0.000181632,0.0004094612,0.0007358966,0.001342442,0.001439122,0.001967898],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008070046,"about_ca_system_score_gemma":0.0000951259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03113137,"about_ca_topic_score_gemma":0.01592736,"domain_scores_codex":[0.9926268,0.002257828,0.001426982,0.0003295168,0.002422517,0.0009363762],"domain_scores_gemma":[0.9959225,0.002217984,0.0005828664,0.0003688676,0.00004603195,0.0008617475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000806483,0.001800491,0.9036959,0.00005222882,0.00007673485,0.00002597352,0.009166447,0.001548968,0.05378339,0.0000194707,0.008760368,0.02026358],"study_design_scores_gemma":[0.001328439,0.0003789496,0.987515,0.0001903367,0.000003283872,0.00003059852,0.0005513018,0.0002999003,0.004999433,0.002017879,0.002506111,0.0001787124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978943,0.000142751,0.00004105283,0.0197905,0.0002786427,0.0005206922,0.00009547654,0.000006903247,0.0001809912],"genre_scores_gemma":[0.9964027,0.0003791426,0.0004195273,0.002158689,0.0001863397,0.00002620232,0.00005640251,0.0000277196,0.0003433035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0838192,"threshold_uncertainty_score":0.9988092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2025624280589538,"score_gpt":0.453656153840706,"score_spread":0.2510937257817523,"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."}}