{"id":"W4282973130","doi":"10.1016/j.cell.2022.06.020","title":"COVID fog demystified","year":2022,"lang":"en","type":"article","venue":"Cell","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Biology; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cognition; Respiratory system; Neuroscience; Virology; Immunology; Internal medicine; Disease; Infectious disease (medical specialty); Medicine","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":[0.0002358553,0.00009247653,0.0001638219,0.00007622397,0.0001425628,0.000009367883,0.0001363184,0.00003124414,0.003010144],"category_scores_gemma":[0.0002639894,0.0000889431,0.00007696838,0.0001416137,0.0000318694,0.00002698007,0.0001425971,0.0002210844,0.0003151983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984581,"about_ca_system_score_gemma":0.0002958387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003367232,"about_ca_topic_score_gemma":0.000001637611,"domain_scores_codex":[0.999119,0.00006738128,0.0001209969,0.0002125103,0.0002773612,0.0002027873],"domain_scores_gemma":[0.9991136,0.0002083984,0.00004411494,0.0003448898,0.00001810024,0.0002708778],"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":[0.001312673,0.001148495,0.03851417,0.002312921,0.000122024,0.003248455,0.002104419,0.0006551828,0.3010438,0.001161675,0.6447802,0.00359608],"study_design_scores_gemma":[0.004299467,0.0007144164,0.006645463,0.00001936478,0.0001392272,0.0001444531,0.0001521699,0.000480494,0.02687073,0.0006747138,0.9595956,0.0002638817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031784,0.000780786,0.0004766797,0.01018636,0.0008765955,0.001010144,0.00001826731,0.000319189,0.08315357],"genre_scores_gemma":[0.9753993,0.000004615928,0.0003393537,0.01119466,0.0001479336,0.00006569468,0.00003836695,0.00002459194,0.01278553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3148155,"threshold_uncertainty_score":0.9979013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537747411308803,"score_gpt":0.2823570366795156,"score_spread":0.2669795625664275,"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."}}