{"id":"W4400460479","doi":"10.17849/insm-51-2-1-4.2","title":"The Long-term Complications of Covid-19 Infection","year":2024,"lang":"en","type":"article","venue":"Journal of Insurance Medicine","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); Medicine; Pandemic; Intensive care medicine; Diabetes mellitus; Term (time); 2019-20 coronavirus outbreak; Relevance (law); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internal medicine; Virology; Disease; Outbreak; Geography; Political science; Infectious disease (medical specialty)","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":[0.002204415,0.0001549568,0.0003708309,0.0006474612,0.0005354653,0.001189564,0.0003225346,0.0005093329,0.002133096],"category_scores_gemma":[0.007262413,0.00008998576,0.0005645582,0.001195301,0.0003961847,0.0005914422,0.0007628978,0.001164609,0.0002564662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005015396,"about_ca_system_score_gemma":0.0006429884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446433,"about_ca_topic_score_gemma":0.003489955,"domain_scores_codex":[0.9984237,0.0004949623,0.0002274217,0.0001012142,0.000443127,0.0003096234],"domain_scores_gemma":[0.9939365,0.001654749,0.002919254,0.0002101398,0.00063298,0.0006464537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007010679,0.0001514616,0.8997579,0.001163149,0.0005886117,0.001087241,0.0003609914,0.00006995228,0.0003445846,0.001076295,0.002849249,0.09184943],"study_design_scores_gemma":[0.000009927726,0.0003579057,0.9856856,0.001022251,0.0002889381,0.002343911,0.0004785682,0.00003453234,0.0001141336,0.0005625883,0.009083912,0.0000177732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5417037,0.4198665,0.0008917136,0.007764269,0.0006462968,0.00009789789,0.002621919,0.0000183555,0.02638942],"genre_scores_gemma":[0.891112,0.1016528,0.0004776374,0.001977274,0.001558507,0.00005563066,0.001721523,0.000006681802,0.001437946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002446433,"threshold_uncertainty_score":0.01165819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08980602250286226,"score_gpt":0.4897170995134998,"score_spread":0.3999110770106376,"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."}}