{"id":"W1500078383","doi":"10.1038/jes.2015.43","title":"Accuracy of quantification of risk using a single-pollutant Air Quality Index","year":2015,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"National Institute of Environmental Health Sciences","keywords":"Pollutant; Criteria air contaminants; National Ambient Air Quality Standards; Environmental health; Environmental science; Air quality index; Air pollution; Air pollutants; Particulates; Medicine; Toxicology; Meteorology; Geography; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01889385,0.0001865936,0.0008004592,0.0001705309,0.000171559,0.000005165947,0.0007182676,0.0001619466,0.0001731809],"category_scores_gemma":[0.009831879,0.0001503689,0.0001723148,0.00043165,0.003320619,0.0008982563,0.0002579296,0.0003725266,0.0000181552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925036,"about_ca_system_score_gemma":0.0002168083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008663077,"about_ca_topic_score_gemma":0.00003783713,"domain_scores_codex":[0.99458,0.001339615,0.002346796,0.0003401448,0.0008751732,0.000518231],"domain_scores_gemma":[0.9928197,0.001228519,0.004923965,0.000453284,0.00003304956,0.0005414904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002531231,0.000435822,0.7805315,0.00001438891,0.00001129558,0.00000241676,0.001713716,0.03815618,0.1664106,0.0002017488,0.00009784035,0.01217138],"study_design_scores_gemma":[0.0007451032,0.001136801,0.9725116,0.00004421918,0.00003486356,0.0001151455,0.001853332,0.002503732,0.01545633,0.004838069,0.00057947,0.0001813121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847142,0.0004441088,0.01354395,0.0006373493,0.0003299668,0.0001488715,0.00003357674,0.000004710953,0.0001433188],"genre_scores_gemma":[0.9864864,0.0001449882,0.01279805,0.0004939518,0.00005979511,6.039375e-7,0.000001318948,0.000009585248,0.000005274312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1919802,"threshold_uncertainty_score":0.9993918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1961686349014,"score_gpt":0.4022734324579225,"score_spread":0.2061047975565225,"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."}}