{"id":"W4389868411","doi":"10.1101/2023.12.15.23300022","title":"Prevalence, risk factors and clinical presentations of post-COVID-19 condition: a follow-up study of reported COVID-19 infections in Montreal, Canada","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Montreal Police Service","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Distress; Telephone interview; Presentation (obstetrics); Young adult; Health care; Respiratory distress; Family medicine; Internal medicine; Clinical psychology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001768405,0.0007903885,0.001265866,0.001673638,0.00131473,0.001477493,0.001502479,0.0006186907,0.002153082],"category_scores_gemma":[0.005258263,0.0004434581,0.002891889,0.004853498,0.0005872555,0.000395536,0.0006975237,0.0007044633,0.0001197453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01168751,"about_ca_system_score_gemma":0.01011032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9614854,"about_ca_topic_score_gemma":0.9596255,"domain_scores_codex":[0.9984239,0.0003514706,0.0001656744,0.0004527724,0.000308746,0.0002973996],"domain_scores_gemma":[0.9955406,0.0006049655,0.001419942,0.0002255408,0.001738481,0.0004704755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003886927,0.00002228815,0.9907314,0.0005392827,0.003903514,0.00004614698,0.0001034009,0.0001226504,0.0000849249,0.0000283337,0.0007328944,0.003296413],"study_design_scores_gemma":[0.00007364522,0.00006654383,0.9966595,0.0002247348,0.002002211,0.00003035349,0.0001301045,0.0002076583,0.00005636525,0.00001344756,0.0005242556,0.00001111098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140225,0.05929792,0.0006487829,0.0006510903,0.0001178196,0.0002315218,0.02308022,0.00004258121,0.001907517],"genre_scores_gemma":[0.9906518,0.004941607,0.0003572468,0.0001839184,0.00003185382,0.00006817024,0.00337755,0.000008006799,0.0003798099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03851461,"threshold_uncertainty_score":0.08479917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0574625885480163,"score_gpt":0.3955185932445061,"score_spread":0.3380560046964898,"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."}}