{"id":"W4415084015","doi":"10.48550/arxiv.2503.00982","title":"Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Minnesota","keywords":"Infectious disease (medical specialty); Population; Public health; Disease; Bayesian probability; Multivariable calculus; Resource (disambiguation); Population health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254612,0.0001801723,0.0004129104,0.0002951743,0.00006115139,0.000005614789,0.0006694442,0.0004180094,0.0001626801],"category_scores_gemma":[0.0003556742,0.0001563896,0.0001000756,0.0004659176,0.0001135034,0.00005218369,0.0006179468,0.001428615,0.00001109086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354584,"about_ca_system_score_gemma":0.0002019456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03572027,"about_ca_topic_score_gemma":0.001341515,"domain_scores_codex":[0.9974203,0.0007869013,0.0007181257,0.0004038406,0.0002650075,0.0004058371],"domain_scores_gemma":[0.9979108,0.0005858634,0.0002677627,0.001008699,0.0001684153,0.00005846445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008691507,0.001167419,0.9820905,0.001067258,0.00005439673,0.000009418635,0.007936518,0.002992627,0.0001809758,0.001691769,0.000150541,0.002571641],"study_design_scores_gemma":[0.002507323,0.0008020897,0.8425801,0.00316308,0.0001985828,0.00001080365,0.004792678,0.1373822,0.0009194366,0.005979928,0.0009307463,0.0007330748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923279,0.0004589031,0.001186559,0.0003946769,0.0008636047,0.001573291,0.0001383953,0.00002797274,0.003028712],"genre_scores_gemma":[0.9980901,0.0001619232,0.0003693754,0.00009726243,0.0000947934,0.0006531587,0.00003960938,0.00001401568,0.0004797807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1395105,"threshold_uncertainty_score":0.970701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4656987436250537,"score_gpt":0.5155627782448803,"score_spread":0.04986403461982658,"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."}}