{"id":"W4205289547","doi":"10.2196/30144","title":"Modeling Years of Life Lost Due to COVID-19, Socioeconomic Status, and Nonpharmaceutical Interventions: Development of a Prediction Model","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Years of potential life lost; Life expectancy; Poverty; Psychological intervention; Pandemic; Harm; Environmental health; Medicine; Coronavirus disease 2019 (COVID-19); Economic growth; Psychology; Economics; Disease; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008141632,0.0001079809,0.0004629172,0.00006623366,0.00005564778,0.000006462144,0.00007893622,0.0000792577,0.000100718],"category_scores_gemma":[0.006249013,0.0001069575,0.0001090313,0.00007563071,0.00006254688,0.00004297171,0.0002777129,0.0001127766,0.000009067529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216497,"about_ca_system_score_gemma":0.000387971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002167488,"about_ca_topic_score_gemma":0.0001033602,"domain_scores_codex":[0.9985009,0.000104265,0.0007957974,0.0002588347,0.000137955,0.0002022333],"domain_scores_gemma":[0.9985462,0.0008152819,0.0001308697,0.0001533724,0.0001051359,0.0002490893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002865904,0.007410711,0.09573807,0.03629124,0.00596942,0.00009362161,0.1120183,0.5032977,0.02058696,0.1022029,0.06499975,0.04852538],"study_design_scores_gemma":[0.002523552,0.0001229368,0.006026628,0.000420935,0.0002069334,0.000004426488,0.002423579,0.9029825,0.0009735328,0.08104715,0.002844352,0.0004234974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7561553,0.000381858,0.2407369,0.002266253,0.00003917324,0.0002957614,0.0000557544,0.00003013004,0.00003891002],"genre_scores_gemma":[0.9390615,0.0001109655,0.05972821,0.0008473819,0.0000196474,0.0000720956,0.000009543419,0.00001307771,0.0001375289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3996847,"threshold_uncertainty_score":0.7481104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3532308177797539,"score_gpt":0.4766078566580359,"score_spread":0.123377038878282,"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."}}