{"id":"W4308026479","doi":"10.1001/jamanetworkopen.2022.40332","title":"Complexity and Challenges of the Clinical Diagnosis and Management of Long COVID","year":2022,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Department of Veterans Affairs","keywords":"Veterans Affairs; Medicine; Diagnosis code; Health records; Coronavirus disease 2019 (COVID-19); Documentation; Gold standard (test); Test (biology); Family medicine; Medical record; MEDLINE; Health care; Pathology; Internal medicine; Disease; Population; Computer science; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.03572851,0.0003141266,0.0005298813,0.001594634,0.005608414,0.005337251,0.002107701,0.002548142,0.001490232],"category_scores_gemma":[0.0884641,0.0005065461,0.000609938,0.001186667,0.0124917,0.007483438,0.006303761,0.004327319,0.0002432474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00933736,"about_ca_system_score_gemma":0.01782401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009134161,"about_ca_topic_score_gemma":0.009234888,"domain_scores_codex":[0.9442592,0.04438369,0.002379428,0.001465376,0.005388216,0.002124093],"domain_scores_gemma":[0.9183587,0.06324755,0.006774542,0.001268467,0.005613535,0.004737249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001351681,0.0002040443,0.05575151,0.002705643,0.0001253697,0.005281647,0.7285436,0.0008961181,0.001462767,0.0466127,0.02218943,0.136092],"study_design_scores_gemma":[0.00003725321,0.0001600162,0.01925995,0.003118764,0.00003379409,0.004468014,0.8824503,0.001955714,0.0002827392,0.04295105,0.04514728,0.0001351285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.4220999,0.01720534,0.02418946,0.5123072,0.00132198,0.0004350129,0.0002438238,0.00008940505,0.0221079],"genre_scores_gemma":[0.9717591,0.005733036,0.0105264,0.01050038,0.0004634597,0.0002509877,0.00007312835,0.0000339289,0.0006594438],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03572851,"threshold_uncertainty_score":0.1889526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1265341655217244,"score_gpt":0.3876053432286995,"score_spread":0.2610711777069751,"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."}}