{"id":"W4205644575","doi":"10.1016/j.sger.2021.12.007","title":"Un système de soutien aux personnes âgées isolées pour limiter les conséquences de la Covid-19 à Buenos Aires","year":2022,"lang":"fr","type":"review","venue":"Soins Gérontologie","topic":"Aging, Health, and Disability","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Coronavirus disease 2019 (COVID-19); cons; Isolation (microbiology); Pandemic; 2019-20 coronavirus outbreak; Quarantine; Quality of life (healthcare); Social isolation; Gerontology; Political science; Humanities; Medicine; Nursing; Art; Psychiatry; Outbreak; Virology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002509978,0.001046166,0.001982408,0.002367917,0.0007860363,0.002060252,0.001264967,0.002264543,0.007477038],"category_scores_gemma":[0.0029735,0.0002953714,0.001600307,0.001672105,0.0007849946,0.001326636,0.001213659,0.00217578,0.0009372904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002589208,"about_ca_system_score_gemma":0.007457512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04319613,"about_ca_topic_score_gemma":0.06668061,"domain_scores_codex":[0.9990661,0.0003673545,0.0001238775,0.0001287586,0.0001817864,0.000132189],"domain_scores_gemma":[0.9989781,0.0004574211,0.0002431315,0.00004242462,0.0002041949,0.00007464758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003902963,0.0001720837,0.00194826,0.04277509,0.0007829377,0.0001912186,0.0004408449,0.0005577757,0.0006525766,0.01738838,0.03263356,0.9020669],"study_design_scores_gemma":[0.0003118264,0.0003683714,0.01541577,0.07407533,0.002017584,0.0005897668,0.0006406683,0.0001897545,0.0003975284,0.002688158,0.9032559,0.00004937147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008641953,0.9950567,0.0002772354,0.001498851,0.0004037729,0.00002387047,0.0001014938,0.00001349208,0.001760462],"genre_scores_gemma":[0.008141111,0.9881316,0.001085132,0.0006772607,0.0002443113,0.00006036577,0.0001501524,0.000004915481,0.001505182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04319613,"threshold_uncertainty_score":0.0858894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1560198852809269,"score_gpt":0.415735576252973,"score_spread":0.2597156909720461,"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."}}