{"id":"W4293786505","doi":"10.1371/journal.pdig.0000098","title":"Integrating psychosocial variables and societal diversity in epidemic models for predicting COVID-19 transmission dynamics","year":2022,"lang":"en","type":"article","venue":"PLOS Digital Health","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Baycrest Hospital; University of Toronto","funders":"H. Lundbeck A/S; Yale University; Lundbeckfonden; European Commission; H2020 European Research Council; Leibniz-Gemeinschaft; Robert Koch Institut; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Bundeszentrale für gesundheitliche Aufklärung; Universität Erfurt","keywords":"Psychosocial; Psychological intervention; Pandemic; Psychology; Econometrics; Economics; Coronavirus disease 2019 (COVID-19); Medicine; Disease; Infectious disease (medical specialty)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001948859,0.0001985758,0.0005883179,0.00006486507,0.001585823,0.00003252643,0.0002125192,0.00008006063,0.00001145052],"category_scores_gemma":[0.004232804,0.000181313,0.0001246652,0.0002117065,0.00008766224,0.0002520425,0.0006198654,0.0004251215,2.099577e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838666,"about_ca_system_score_gemma":0.0002775331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006036836,"about_ca_topic_score_gemma":0.0002641332,"domain_scores_codex":[0.9978641,0.000236763,0.000626203,0.0004741918,0.0002888363,0.0005099184],"domain_scores_gemma":[0.9929307,0.006372953,0.0002912893,0.0001202067,0.00003037886,0.0002545262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001158175,0.002915418,0.4448718,0.009209547,0.0003776043,0.00001786297,0.06976318,0.01098571,0.00001186144,0.361174,0.01566313,0.08385167],"study_design_scores_gemma":[0.0007175946,0.0002673884,0.0003435289,0.00006101874,0.00001376801,0.000002785254,0.003602559,0.3667968,1.864157e-7,0.6277171,0.0003188812,0.0001584108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3561744,0.0006593604,0.6142855,0.02350634,0.000139099,0.002381044,0.001502436,0.0004019205,0.0009499555],"genre_scores_gemma":[0.9870537,0.00009421758,0.009597401,0.002927502,0.00005352608,0.0001364961,0.00006552469,0.00002307023,0.00004854834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6308793,"threshold_uncertainty_score":0.999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2858732270852041,"score_gpt":0.4283134361162227,"score_spread":0.1424402090310186,"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."}}