{"id":"W4414178323","doi":"10.63600/b3eyjz05","title":"El síndrome clínico del post-COVID: ¿cuán profundo es el daño?","year":2025,"lang":"en","type":"article","venue":"Revista de la Federación Argentina de Cardiología","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neurocognitive; Epidemiology; Respiratory failure; Age groups; Stroke (engine); Test (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005942525,0.0002649894,0.0003026708,0.0005397571,0.0003216655,0.0007317121,0.0002731664,0.0003811326,0.002118833],"category_scores_gemma":[0.001144759,0.00007753034,0.000140021,0.0005109748,0.0005414276,0.000832336,0.0002717719,0.0003397119,0.0003079051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701029,"about_ca_system_score_gemma":0.0004211521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753871,"about_ca_topic_score_gemma":0.002418742,"domain_scores_codex":[0.9997266,0.0000836055,0.00001956972,0.00004986802,0.00004329726,0.00007715428],"domain_scores_gemma":[0.999464,0.00007256339,0.0003015412,0.00001216551,0.00007739508,0.0000723636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002696127,0.0001160711,0.9779078,0.0001087502,0.00002538575,0.001663755,0.0003382649,0.0000353995,0.0006076558,0.0001515325,0.0005430238,0.01823264],"study_design_scores_gemma":[0.00002943448,0.0004618105,0.9803367,0.000278941,0.00003508328,0.01302321,0.003177423,0.0002194636,0.0002357539,0.0002704742,0.00191939,0.00001228096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910372,0.00563267,0.0001934293,0.000851878,0.00004731191,0.00002445183,0.0002162257,0.000004597378,0.001992264],"genre_scores_gemma":[0.9957558,0.002825434,0.0001927598,0.000223732,0.0002648777,0.00001392393,0.0002339152,0.000001738703,0.0004879317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002118833,"threshold_uncertainty_score":0.007088184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008841209179721908,"score_gpt":0.3218570362058223,"score_spread":0.3130158270261004,"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."}}