{"id":"W3015723115","doi":"10.1080/09603123.2020.1746745","title":"Socioeconomic factors and bacillary dysentery risk in Jiangsu Province, China: a spatial investigation using Bayesian hierarchical models","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Health Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Bacillary dysentery; Socioeconomic status; China; Environmental health; Bayesian probability; Geography; Dysentery; Statistics; Medicine; Mathematics; Biology; Microbiology","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":[0.00351635,0.00063147,0.0005428336,0.001674076,0.0009697085,0.00076638,0.0008904168,0.00047365,0.001910943],"category_scores_gemma":[0.005348685,0.000460809,0.001736509,0.001602466,0.000482913,0.000547869,0.00121024,0.0005318682,0.0001221376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426021,"about_ca_system_score_gemma":0.002670197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2259521,"about_ca_topic_score_gemma":0.2077166,"domain_scores_codex":[0.9986815,0.0007485458,0.00006652538,0.0002222399,0.0001008501,0.0001803829],"domain_scores_gemma":[0.997624,0.00127217,0.0004118879,0.000215996,0.0002798535,0.0001962095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001641739,0.0001603546,0.9670969,0.00006384954,0.0006548052,0.0002822816,0.000683741,0.01718566,0.0002402798,0.00194495,0.0005478038,0.01097516],"study_design_scores_gemma":[0.0000665884,0.000231849,0.6964564,0.0001005017,0.0006843929,0.000133159,0.001289576,0.2961262,0.0001416643,0.003155967,0.001567935,0.00004578706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943132,0.0002788138,0.004331856,0.0003004505,0.00001048075,0.00003801345,0.0003172384,0.00002127531,0.0003888134],"genre_scores_gemma":[0.9968545,0.0001756329,0.001966179,0.00002831125,0.00000925678,0.00004132766,0.0004495347,0.000004371418,0.0004709421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2259521,"threshold_uncertainty_score":0.4492738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513578535153208,"score_gpt":0.4570973005250252,"score_spread":0.3057394470097045,"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."}}