{"id":"W4407163494","doi":"10.1186/s12889-025-21741-4","title":"Spatiotemporal clusters of acute respiratory infections associated with socioeconomic, meteorological, and air pollution factors in South Punjab, Pakistan","year":2025,"lang":"en","type":"article","venue":"BMC Public Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Biostatistics; Medicine; Environmental health; Air pollution; Socioeconomic status; Epidemiology; Public health; Air pollutants; Environmental epidemiology; Population; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004803638,0.0002246086,0.0002723256,0.0008273078,0.0007254187,0.0007170608,0.0003528713,0.0002372271,0.001231895],"category_scores_gemma":[0.001295866,0.0002802967,0.0004730363,0.001565582,0.000476654,0.0004557526,0.000811888,0.0004554676,0.0001155836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006598639,"about_ca_system_score_gemma":0.001364281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08338661,"about_ca_topic_score_gemma":0.07964428,"domain_scores_codex":[0.9995368,0.00009581203,0.00006005739,0.0001476918,0.00005733854,0.0001024042],"domain_scores_gemma":[0.9990057,0.0001551486,0.0004464279,0.00006765917,0.0001722404,0.0001527619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003836524,0.00001517421,0.9968645,0.00002447541,0.00004592948,0.000193916,0.0003730161,0.0002222926,0.0001599,0.00006304929,0.0002231317,0.001776164],"study_design_scores_gemma":[0.000001674025,0.00002041409,0.9981895,0.0000136806,0.00001383851,0.0001387809,0.001026737,0.0003545011,0.00002633712,0.00003401409,0.0001747297,0.000005773108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983696,0.0001410958,0.0001702432,0.0001176832,0.00000688913,0.0000143958,0.0008401291,0.000004551179,0.000335394],"genre_scores_gemma":[0.9991367,0.0001087316,0.0001739107,0.00001341363,0.000004624659,0.00001175284,0.0004813391,0.000001063179,0.00006851181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08338661,"threshold_uncertainty_score":0.1658025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1760649716823627,"score_gpt":0.4165730077312157,"score_spread":0.240508036048853,"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."}}