{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001650052,0.0002598352,0.0005357506,0.001391248,0.000693498,0.001145086,0.001190061,0.001128299,0.00312995],"category_scores_gemma":[0.009168076,0.0002783774,0.001184056,0.003005966,0.0009595777,0.001110285,0.001495684,0.001212058,0.0002136527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884551,"about_ca_system_score_gemma":0.001874904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.213144,"about_ca_topic_score_gemma":0.267188,"domain_scores_codex":[0.9980044,0.001025995,0.0001401649,0.0003009375,0.0001588899,0.0003695827],"domain_scores_gemma":[0.9866171,0.005613474,0.003175117,0.0007961125,0.001022244,0.002775986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001888561,0.00005778028,0.9972159,0.00001336225,0.0001216062,0.000211361,0.0003346414,0.000178452,0.000113319,0.00006854952,0.0002205981,0.001275529],"study_design_scores_gemma":[0.000004932976,0.00003908117,0.9982985,0.000005236743,0.00004909016,0.00003849865,0.0011417,0.0003055611,0.00001445506,0.00002717394,0.00007253769,0.000003243886],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972737,0.0003488141,0.00006637454,0.0008187511,0.00001349556,0.00001027275,0.0005111782,0.000007560172,0.0009497501],"genre_scores_gemma":[0.9995579,0.0000608232,0.00001679405,0.00006546963,0.00001403613,0.000004633325,0.000144728,0.00000262403,0.0001328226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.213144,"threshold_uncertainty_score":0.4238068,"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."}}