{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004094916,0.0012211,0.00325454,0.0003581626,0.001870219,0.0001978519,0.001207749,0.001443773,0.01080959],"category_scores_gemma":[0.01714741,0.001044014,0.001230489,0.0004415601,0.003891031,0.0001835993,0.0004410209,0.002053925,0.0003795148],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.007978898,"about_ca_system_score_gemma":0.03426958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06605784,"about_ca_topic_score_gemma":0.009806829,"domain_scores_codex":[0.988686,0.00507018,0.001587722,0.001613197,0.0007264233,0.002316458],"domain_scores_gemma":[0.9855508,0.01067533,0.0008976365,0.001295669,0.0001363311,0.001444232],"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":[0.0002911671,0.001653481,0.2241417,0.1115127,0.001138985,0.001726185,0.02683571,0.00006784009,0.000003709568,0.02446174,0.02109431,0.5870725],"study_design_scores_gemma":[0.001260814,0.0007420647,0.006817116,0.00397921,0.0023683,0.001276313,0.03745529,0.0002521106,0.000002855494,0.0065317,0.9382079,0.00110629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005806246,0.9578738,0.0007810782,0.01243315,0.001346159,0.002090344,0.0004844258,0.0006069985,0.01857775],"genre_scores_gemma":[0.06883464,0.9200174,0.001970696,0.004257362,0.001645336,0.0007420103,0.0002210112,0.0001324481,0.002179075],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9171136,"threshold_uncertainty_score":0.9998525,"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."}}