{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001222682,0.0008957274,0.00175399,0.0002566732,0.000752425,0.0003194629,0.0004916787,0.0003986027,0.004664805],"category_scores_gemma":[0.007340003,0.0008610475,0.0007661902,0.001484427,0.001114789,0.0002232199,0.0003175504,0.001166543,0.000429536],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729039,"about_ca_system_score_gemma":0.006522489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006861654,"about_ca_topic_score_gemma":0.0003561585,"domain_scores_codex":[0.9928142,0.0009944082,0.001466876,0.001652751,0.001206145,0.001865565],"domain_scores_gemma":[0.9927446,0.001209819,0.000737638,0.001761637,0.0004401699,0.003106146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003655646,0.0008611639,0.9247683,0.00413978,0.0004149905,0.001189459,0.003848124,0.00002668435,0.0005666248,0.02957476,0.02671562,0.007528905],"study_design_scores_gemma":[0.003458434,0.0007585947,0.5106989,0.001432321,0.001740414,0.001338811,0.02963168,0.004145848,0.000326623,0.001070202,0.443571,0.001827206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8237448,0.03539582,0.008545407,0.09422147,0.0006496445,0.002386199,0.001213301,0.0007899527,0.03305336],"genre_scores_gemma":[0.9646222,0.004564324,0.002156812,0.02483905,0.001007159,0.00005803058,0.0003048278,0.0001430268,0.002304592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4168554,"threshold_uncertainty_score":0.9997517,"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."}}