{"id":"W3162480759","doi":"10.31406/relap2021.v15.i2.n29.3","title":"Las personas mayores frente al COVID-19: tendencias demográficas y acciones políticas","year":2021,"lang":"es","type":"article","venue":"Revista Latinoamericana de Población","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Persona; Political science; Humanities; 2019-20 coronavirus outbreak; Geography; Medicine; Art; Virology; Disease","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":[0.001013602,0.0002084702,0.0002806042,0.001135714,0.00107891,0.001432447,0.0002824757,0.0005380894,0.003920037],"category_scores_gemma":[0.002952718,0.000187318,0.000302713,0.001522891,0.0007103267,0.001053307,0.001094713,0.0006876342,0.0002409275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011732,"about_ca_system_score_gemma":0.001090347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05927734,"about_ca_topic_score_gemma":0.09649393,"domain_scores_codex":[0.9993742,0.0002196132,0.00005054458,0.0001023259,0.0000872176,0.0001662089],"domain_scores_gemma":[0.9981818,0.0002797905,0.001001864,0.00006351566,0.0002520031,0.0002209407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008184513,0.00003533809,0.9722514,0.0001086718,0.00005764448,0.000293997,0.006590437,0.00003938603,0.0002240279,0.0007810064,0.00134661,0.01818969],"study_design_scores_gemma":[0.000003531375,0.00004840719,0.9776574,0.0002149814,0.00003792699,0.0004253743,0.01483016,0.00007002264,0.00006913474,0.0003399169,0.006292006,0.00001116487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757209,0.006410275,0.0003327274,0.004738827,0.00006458746,0.00003972002,0.001300345,0.0000117685,0.01138093],"genre_scores_gemma":[0.9934669,0.004336044,0.0002267417,0.0003586353,0.00005109005,0.00003348258,0.0003534356,0.000003403349,0.001170305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05927734,"threshold_uncertainty_score":0.1178647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03210801143962192,"score_gpt":0.3657273659021023,"score_spread":0.3336193544624803,"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."}}