{"id":"W4401748406","doi":"10.2139/ssrn.4931063","title":"Long COVID Clinical Evaluation, Research and Impact on Society: A Global Expert Consensus","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Consensus conference; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Scientific consensus; Medicine; Virology; Computer science; Library science; Infectious disease (medical specialty); Climate change; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2880527,0.00123389,0.005481429,0.006783266,0.003547385,0.01797136,0.007679612,0.01845655,0.006783706],"category_scores_gemma":[0.2984987,0.001132839,0.005006226,0.005594377,0.006925276,0.01421507,0.01425895,0.02445452,0.002865252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02038056,"about_ca_system_score_gemma":0.08342739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087125,"about_ca_topic_score_gemma":0.01932124,"domain_scores_codex":[0.9116765,0.03062676,0.02144718,0.006323905,0.02479501,0.005130655],"domain_scores_gemma":[0.5399684,0.2732161,0.02505806,0.01562743,0.1168174,0.02931262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001402375,0.0003095997,0.008304307,0.01364459,0.001605629,0.000259846,0.001928412,0.000841495,0.0004637884,0.02896866,0.531958,0.4103133],"study_design_scores_gemma":[0.00102891,0.0003248324,0.02371586,0.127491,0.002893672,0.0004385793,0.005857743,0.001144861,0.0009429099,0.05959269,0.7761883,0.0003806541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002577492,0.2867016,0.002673992,0.6753072,0.02246502,0.0002292363,0.0009062028,0.00009888775,0.009040323],"genre_scores_gemma":[0.09994142,0.3631014,0.03964595,0.4460783,0.03722998,0.00164045,0.003904263,0.0005923606,0.007865909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2880527,"threshold_uncertainty_score":0.8779578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08695337604317137,"score_gpt":0.5111325592621405,"score_spread":0.4241791832189691,"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."}}