{"id":"W2076094312","doi":"10.1289/ehp.8153","title":"Associations between Health Effects and Particulate Matter and Black Carbon in Subjects with Respiratory Disease","year":2005,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":312,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; National Institute of Environmental Health Sciences; Washington State University; National Institutes of Health; U.S. Environmental Protection Agency","keywords":"Spirometry; Asthma; Exhaled nitric oxide; Medicine; COPD; Confidence interval; Blood pressure; Particulates; Respiratory system; Internal medicine; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005627257,0.0005134597,0.0004499131,0.0006564667,0.0003755564,0.0004920048,0.0003485268,0.0008247187,0.000578752],"category_scores_gemma":[0.002287996,0.0004426056,0.0004774106,0.0006440627,0.0002760773,0.0003049864,0.0003381104,0.0005421808,0.0001173268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902843,"about_ca_system_score_gemma":0.0001596266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193027,"about_ca_topic_score_gemma":0.01576136,"domain_scores_codex":[0.9994701,0.0002031372,0.00004964163,0.0001322403,0.00007477614,0.00007002769],"domain_scores_gemma":[0.9985355,0.0003728755,0.0005994381,0.0001037724,0.0001500683,0.0002382748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040068,0.00003400373,0.9990203,0.000006422601,0.00009839361,0.00002919434,0.00002070149,0.00004770767,0.0001807643,0.00000314512,0.00001980179,0.000435621],"study_design_scores_gemma":[0.000003363255,0.00007435839,0.9996737,0.000001782343,0.00003221001,0.00004150023,0.00002154832,0.00008353812,0.00002602048,0.000006735256,0.00003391155,0.000001226716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988503,0.0006765274,0.00005619009,0.00003886206,0.000006035061,0.000004231598,0.0001985295,0.000003641581,0.0001656852],"genre_scores_gemma":[0.9993265,0.000154312,0.00009402191,0.00002132261,0.00001539899,0.000007557189,0.0002234756,0.0000015423,0.0001559299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01193027,"threshold_uncertainty_score":0.02372164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831729438480761,"score_gpt":0.2995306099458383,"score_spread":0.2812133155610307,"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."}}