{"id":"W2905106363","doi":"10.21608/jhiph.2018.19903","title":"Traffic Air Quality Health Index in a Selected Street, Alexandria","year":2018,"lang":"en","type":"article","venue":"Journal of High Institute of Public Health","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Air quality index; Transport engineering; Geography; Engineering; Computer science; Meteorology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006689092,0.0001624696,0.000612975,0.0002343481,0.0002047952,0.00002131144,0.0003809662,0.00009270884,0.0001008708],"category_scores_gemma":[0.0005550335,0.0001414963,0.00007921828,0.001068503,0.0003926232,0.0006963792,0.00008366939,0.000466643,0.0000102857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103203,"about_ca_system_score_gemma":0.001286944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007882004,"about_ca_topic_score_gemma":0.007294422,"domain_scores_codex":[0.9961799,0.0005628498,0.001642544,0.0002276385,0.0007486287,0.0006384367],"domain_scores_gemma":[0.9974795,0.0000699209,0.001556952,0.0002306242,0.0001170104,0.0005459876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001764577,0.001722999,0.4957958,0.000344255,0.00008690131,0.00002495643,0.01009902,0.006931571,0.0001579298,0.001604088,0.01232429,0.4707318],"study_design_scores_gemma":[0.001539128,0.001453063,0.9668471,0.0002136883,0.000002657447,0.00004754056,0.0005409332,0.0005397166,0.00004844898,0.0001280517,0.02845254,0.000187114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863725,0.00009036645,0.003593854,0.008578048,0.0009505509,0.0001474508,0.000008577968,0.00002276108,0.0002358707],"genre_scores_gemma":[0.9943247,0.00005881202,0.004625896,0.0005084169,0.0004163231,0.000001373081,0.000003843897,0.00001194763,0.00004870708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4710513,"threshold_uncertainty_score":0.9987246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07399480106846414,"score_gpt":0.3407809286258746,"score_spread":0.2667861275574104,"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."}}