{"id":"W4322615481","doi":"10.14740/jocmr4855","title":"Symptom Profile of Patients With Post-COVID-19 Conditions and Influencing Factors for Recovery","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Zinc; Hydrate; Significant difference; Taste; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Internal medicine; Disease; Food science; Metallurgy; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001988313,0.0001474611,0.0003052922,0.0003460285,0.0002964324,0.0002518955,0.0001074785,0.0002117551,0.001452086],"category_scores_gemma":[0.001094779,0.00006379616,0.000242742,0.0003699654,0.0001544464,0.0001995814,0.0002000167,0.0002681789,0.0001348226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588174,"about_ca_system_score_gemma":0.0001976535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007470712,"about_ca_topic_score_gemma":0.001159681,"domain_scores_codex":[0.9998527,0.00003232614,0.00001990769,0.00002342045,0.00002761422,0.00004397818],"domain_scores_gemma":[0.9995195,0.00006982708,0.0002317794,0.00001360081,0.00005340651,0.0001119516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001839647,0.00005614349,0.9961088,0.00002134862,0.00001752725,0.0002279261,0.00009373213,0.00001763518,0.0004018937,0.000008705104,0.00006994084,0.002792474],"study_design_scores_gemma":[0.000003697319,0.000170702,0.9988748,0.000007101949,0.00001079358,0.0004986563,0.0002435702,0.00003136936,0.00004237665,0.00001006371,0.0001048093,0.000001936524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998859,0.0005435847,0.00004593591,0.00004694505,0.000005310262,0.00000879907,0.00009569357,0.000001545239,0.0003931499],"genre_scores_gemma":[0.9995723,0.000149503,0.00004933699,0.00001660663,0.000008649449,0.000005154478,0.0001183001,5.517503e-7,0.00007950563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001452086,"threshold_uncertainty_score":0.004857719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1353556365779601,"score_gpt":0.5211883317286587,"score_spread":0.3858326951506987,"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."}}