{"id":"W2046042996","doi":"10.1007/s10651-014-0289-0","title":"Air pollution effects on clinic visits in small areas of Taiwan revisited","year":2014,"lang":"en","type":"article","venue":"Environmental and Ecological Statistics","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geography; Covariate; Air pollution; Environmental health; Bayesian probability; Statistics; Regression analysis; Demography; Cartography; Environmental science; Medicine; Mathematics; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004505968,0.0001340009,0.0002452736,0.00002233885,0.00009289225,0.000004910256,0.00008165782,0.0001164571,0.001611493],"category_scores_gemma":[0.0001920374,0.0001089636,0.00002286506,0.00005440437,0.0001888191,0.00004044278,0.0001164213,0.0001681538,0.0004525772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001510733,"about_ca_system_score_gemma":0.000002475205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003719697,"about_ca_topic_score_gemma":0.0000750446,"domain_scores_codex":[0.9987541,0.0002267385,0.0003203455,0.0002691851,0.0001456498,0.0002840116],"domain_scores_gemma":[0.9992273,0.0003552194,0.0001202382,0.0001160112,6.126642e-7,0.0001806161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003063737,0.001333661,0.8007466,0.000166595,0.00001144591,0.00003105486,0.0004119284,0.0006225408,0.001103729,0.003074371,0.004134807,0.188057],"study_design_scores_gemma":[0.0005841973,0.001389728,0.9890456,0.00002073393,0.000008033551,0.000001957349,0.00002715663,0.0007842265,0.000146072,0.00497971,0.002885724,0.0001269241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956235,0.00002030035,0.00187339,0.0006449998,0.00004340844,0.000275782,0.00007291122,0.00001203247,0.001433688],"genre_scores_gemma":[0.9925234,0.00009233467,0.003062989,0.004099305,0.00002340775,0.000007941326,0.00003414977,0.000006389188,0.0001500355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.188299,"threshold_uncertainty_score":0.9993012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048375264393244,"score_gpt":0.2654812615592671,"score_spread":0.2449975089153347,"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."}}