{"id":"W4386867859","doi":"10.17849/insm-50-1-54-58.1","title":"Long Covid – Into the Third Year","year":2023,"lang":"en","type":"article","venue":"Journal of Insurance Medicine","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Disease; Gerontology; Demography; Virology; Outbreak; Sociology; Infectious disease (medical specialty); Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.002470383,0.0001834269,0.0006081523,0.0003599747,0.0001247798,0.00001437952,0.0003684151,0.0000889576,0.000126934],"category_scores_gemma":[0.005741169,0.00009295178,0.0001733776,0.000848172,0.0003598006,0.0001534898,0.00005364928,0.0006550339,0.0001716148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480233,"about_ca_system_score_gemma":0.0003372431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006357061,"about_ca_topic_score_gemma":0.00002331269,"domain_scores_codex":[0.9976784,0.0001249427,0.000671773,0.0001554412,0.001076505,0.0002929226],"domain_scores_gemma":[0.9971338,0.001270995,0.0004466968,0.000421785,0.0003560777,0.0003706743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001646725,0.0001208444,0.7407665,0.0009332281,0.0004075024,0.00514194,0.008060774,0.0001518103,0.01240062,0.0003773274,0.2109703,0.01902238],"study_design_scores_gemma":[0.007358802,0.001907824,0.9266524,0.002078078,0.0002116426,0.0014097,0.0009045983,0.00007487358,0.0007895852,0.001217979,0.05723306,0.0001614017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8614872,0.001967714,0.0003172806,0.1324951,0.001352769,0.0003205829,0.000001328577,0.00007158199,0.001986463],"genre_scores_gemma":[0.9879323,0.000984385,0.0001956069,0.007438722,0.002403239,0.000005334079,0.00000384027,0.0000305599,0.001006061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1858859,"threshold_uncertainty_score":0.687313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694566673841882,"score_gpt":0.3254905313023521,"score_spread":0.3085448645639333,"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."}}