{"id":"W6921195973","doi":"10.6084/m9.figshare.c.7421788.v1","title":"Social trust and COVID-19 mortality in the United States: lessons in planning for future pandemics using data from the general social survey","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Fusion and Plasma Physics Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Social capital; Social trust; Survey data collection; Context (archaeology); General Social Survey; American Community Survey; Social vulnerability; Investment (military); Trust fund","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002258236,0.0002336866,0.0002869918,0.00005236397,0.0002378343,0.0001345367,0.0004397125,0.0001410035,0.002860424],"category_scores_gemma":[0.00005632154,0.0001559652,0.000054485,0.000247629,0.00002437805,0.00003052342,0.0003247115,0.0004466349,0.00001117712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749065,"about_ca_system_score_gemma":0.0001482192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118473,"about_ca_topic_score_gemma":0.009003873,"domain_scores_codex":[0.998888,0.0002353548,0.0001702149,0.0003527896,0.0001375939,0.0002160802],"domain_scores_gemma":[0.9991096,0.000481001,0.0001383033,0.0002257629,0.00001878618,0.00002650952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009828047,0.00002129433,0.00664901,0.00008956999,0.0001125382,0.000002605535,0.004718807,0.00003969433,1.50211e-7,0.0001876519,0.9880466,0.0001222451],"study_design_scores_gemma":[0.0005524178,0.000004612528,0.01451553,0.0004255809,0.00006484319,1.303823e-7,0.007356543,0.007632977,1.643866e-7,0.002135941,0.966979,0.0003322604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004949233,0.0004095386,0.00001303681,0.0006227888,0.0000968041,0.000418901,0.9903648,0.00002206271,0.003102837],"genre_scores_gemma":[0.01282379,0.0000116594,0.00001715522,0.0007315036,0.003998998,0.0001083018,0.9800757,0.0001461913,0.002086716],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02106761,"threshold_uncertainty_score":0.9980511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3812412719242736,"score_gpt":0.4427414248631371,"score_spread":0.06150015293886352,"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."}}