{"id":"W6962627297","doi":"10.17605/osf.io/wxqcm","title":"Cumulative Risk and Well-being During COVID 19","year":2022,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Series (stratigraphy); Time series; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00165777,0.0003738983,0.000626396,0.002925559,0.0021259,0.002036169,0.001950897,0.0004729256,0.00906697],"category_scores_gemma":[0.00950867,0.0003681704,0.0009988553,0.005743898,0.000398297,0.0007192245,0.002868204,0.001435817,0.001946325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009275521,"about_ca_system_score_gemma":0.01369806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9095313,"about_ca_topic_score_gemma":0.9083248,"domain_scores_codex":[0.9974818,0.0002810267,0.0002074304,0.0003269475,0.000754052,0.000948863],"domain_scores_gemma":[0.9948212,0.0003066217,0.0008988003,0.0004218385,0.002443386,0.001108211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004632137,0.0001632587,0.9242055,0.0002777429,0.0001926529,0.000117695,0.002325692,0.0005522018,0.0001028719,0.002364935,0.0538976,0.01533662],"study_design_scores_gemma":[0.00001034184,0.0000430029,0.9817028,0.0001180761,0.00002682134,0.00003981498,0.0009921556,0.000219993,0.0000575679,0.0001235533,0.01663692,0.00002900375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3670108,0.00133387,0.0006672509,0.001044319,0.0001589569,0.0005855418,0.5927586,0.0001230935,0.03631759],"genre_scores_gemma":[0.6262838,0.001087221,0.0009690649,0.0003528564,0.00007485304,0.001207315,0.3537721,0.00008832477,0.01616443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9095313,"threshold_uncertainty_score":0.182003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020433578900028,"score_gpt":0.3449754390449275,"score_spread":0.3245418601448995,"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."}}