{"id":"W6902166829","doi":"10.6084/m9.figshare.26860651","title":"Additional file 1 of 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":"article","venue":"Open MIND","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pandemic; Social trust; Survey data collection; General Social Survey; Coronavirus disease 2019 (COVID-19); Data collection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00214394,0.0009995474,0.001260015,0.003251868,0.001412408,0.001792553,0.001995062,0.001682908,0.7764471],"category_scores_gemma":[0.06058611,0.0008328434,0.001202377,0.007070458,0.0003624572,0.002648444,0.001450527,0.001497964,0.07086567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523931,"about_ca_system_score_gemma":0.002930096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03840013,"about_ca_topic_score_gemma":0.04408621,"domain_scores_codex":[0.9986771,0.0003377101,0.0002750843,0.0002661762,0.0002322919,0.0002116642],"domain_scores_gemma":[0.9584505,0.03153557,0.003458459,0.001792286,0.003687256,0.001075913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000244931,0.0001615499,0.01188793,0.002258564,0.00009555709,0.00006173108,0.0001399168,0.0005690877,0.00002878034,0.001329769,0.9759833,0.00723885],"study_design_scores_gemma":[0.01430334,0.0009427728,0.277052,0.01427564,0.001054773,0.0012744,0.005349127,0.006965244,0.0007462652,0.0274305,0.6500525,0.0005534535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003760907,0.00001410528,0.0001211016,0.000109099,0.0000205342,0.00007260106,0.9986371,0.00003649253,0.0006128882],"genre_scores_gemma":[0.02438753,0.0002327177,0.003877944,0.0007813685,0.0001595811,0.005053135,0.9550862,0.0003116718,0.01010989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7764471,"threshold_uncertainty_score":0.3188711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7444479134621551,"score_gpt":0.56212625520933,"score_spread":0.1823216582528251,"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."}}