{"id":"W2109185224","doi":"10.1515/ijb-2013-0026","title":"Latent Conditional Individual-Level Models for Infectious Disease Modeling","year":2013,"lang":"en","type":"article","venue":"The International Journal of Biostatistics","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Brock University","funders":"","keywords":"Covariate; Latent variable; Latent variable model; Population; Computer science; Econometrics; Statistics; Conditional independence; Mathematics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002829981,0.00007850111,0.0001030122,0.00001989803,0.00009555113,0.00008604921,0.0003919413,0.00002437577,0.0002782805],"category_scores_gemma":[0.0002270689,0.00002792189,0.0001063253,0.00003723909,0.0000444394,0.0001661822,0.00007184659,0.0000746544,0.00001784469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002610512,"about_ca_system_score_gemma":0.00001599892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005914518,"about_ca_topic_score_gemma":0.00001480077,"domain_scores_codex":[0.9991511,0.00003783114,0.0003159247,0.0000791169,0.0002916878,0.000124355],"domain_scores_gemma":[0.9987612,0.00040527,0.0002107962,0.00002203496,0.0005082935,0.00009243728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0010773,0.0007872542,0.01549986,0.00003413936,0.001718737,0.00006682245,0.0002890152,0.1485971,0.005859723,0.4466932,0.2153532,0.1640237],"study_design_scores_gemma":[0.0003217584,0.0001758029,0.08119029,0.00002036512,0.00008973658,0.00001332389,0.0001080437,0.3264347,0.000009764643,0.5903354,0.001182413,0.0001183674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374205,0.0002346492,0.1414854,0.01777686,0.000705028,0.0003728384,0.001728852,0.000019824,0.0002561243],"genre_scores_gemma":[0.9962864,0.00009209495,0.0009880918,0.001838903,0.0004955754,0.00001238918,0.0002181993,0.000001041525,0.00006730809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2141707,"threshold_uncertainty_score":0.3046976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101053187091808,"score_gpt":0.2829587948001932,"score_spread":0.1728534760910124,"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."}}