{"id":"W2904065829","doi":"10.1051/matecconf/201824700002","title":"Air quality health indices - review","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Environmental health; Index (typography); Air pollution; Air pollutants; Epidemiology; Medicine; Population health; Public health; Air Pollution Index; Population; Geography; Meteorology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001724778,0.001129879,0.002029478,0.006849345,0.000325264,0.001652817,0.001633643,0.0009851852,0.007606932],"category_scores_gemma":[0.00535705,0.0003942006,0.00180157,0.007786726,0.0004912522,0.001617788,0.000887788,0.001134064,0.001778096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139646,"about_ca_system_score_gemma":0.004115175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008801336,"about_ca_topic_score_gemma":0.008970363,"domain_scores_codex":[0.9987179,0.0002738806,0.0003216091,0.0001728022,0.0004609743,0.0000528342],"domain_scores_gemma":[0.9967301,0.001557818,0.000492354,0.00007794163,0.00106356,0.00007821304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001317298,0.00007937374,0.001101575,0.1482168,0.0005963594,0.00009339918,0.00009497302,0.0004206426,0.0002682458,0.001872309,0.06119434,0.7859303],"study_design_scores_gemma":[0.00003609591,0.0001313005,0.007159949,0.1102217,0.001680144,0.0007022417,0.0001613738,0.0001335118,0.000306119,0.001748649,0.8776792,0.00003976548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001065599,0.9980991,0.00009331748,0.000300867,0.0002446228,0.00002726065,0.0002388212,0.000005896834,0.0008835135],"genre_scores_gemma":[0.001059996,0.9978192,0.0001988466,0.0002022881,0.0001975358,0.00002511608,0.0002466521,0.000002433177,0.0002480159],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008801336,"threshold_uncertainty_score":0.02544767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027465676172858,"score_gpt":0.395777416607137,"score_spread":0.2930308489898512,"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."}}