{"id":"W4400216854","doi":"10.5114/ms.2024.140984","title":"Complications after COVID-19 – review of scientific reports and meta-analysis","year":2024,"lang":"en","type":"article","venue":"Medical Studies","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Meta-analysis; Medical science; Medicine; Web of science; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Library science; Virology; Pathology; Medical education; Computer science; Infectious disease (medical specialty); Outbreak; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001968735,0.0001080891,0.001064739,0.0002023779,0.0001147307,0.00001584507,0.00004182497,0.00004491795,0.001258864],"category_scores_gemma":[0.00702634,0.00006313345,0.0004209097,0.001008491,0.000541507,0.00002880122,0.00009891953,0.0001409219,0.00001092752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008220204,"about_ca_system_score_gemma":0.0006325752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425995,"about_ca_topic_score_gemma":0.000251168,"domain_scores_codex":[0.9980927,0.00006779753,0.0005422662,0.0003762872,0.0007629191,0.0001580846],"domain_scores_gemma":[0.9981849,0.000599674,0.00007406303,0.0003934827,0.0002179089,0.0005300334],"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":[0.00005015636,0.0003896867,0.01966036,0.2429925,0.3015342,0.004502297,0.004465659,7.710199e-7,0.00002528353,0.001513539,0.4100869,0.01477862],"study_design_scores_gemma":[0.0001110573,0.00007451585,0.01505147,0.001074577,0.2561253,0.0001801558,0.0001243511,0.0000307358,0.000007937,0.0009303498,0.7261765,0.0001130894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001964482,0.6845325,0.000287132,0.312485,0.0001322294,0.0003078232,0.00001906665,0.00004915395,0.0002226717],"genre_scores_gemma":[0.8659499,0.06765759,0.0002170115,0.06436501,0.00007140062,0.0002158693,0.00003565295,0.00001087988,0.001476697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8639854,"threshold_uncertainty_score":0.9996541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3314673593602875,"score_gpt":0.5347058939369789,"score_spread":0.2032385345766914,"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."}}