{"id":"W3025800882","doi":"10.1093/ageing/afaa113","title":"Commentary: COVID in care homes—challenges and dilemmas in healthcare delivery","year":2020,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":223,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"National Institute for Health and Care Research; National Institute on Handicapped Research","keywords":"Medicine; Pandemic; Health care; Nursing; Personal protective equipment; Coronavirus disease 2019 (COVID-19); Government (linguistics); Isolation (microbiology); Personal care; Test (biology); Family medicine; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.000136833,0.0001106581,0.000260397,0.00008540104,0.0001884433,0.000008688378,0.00005421116,0.0001059223,0.00001353017],"category_scores_gemma":[0.00003462498,0.0001059893,0.00001841054,0.0001218444,0.00002763679,0.00008917579,0.0001106551,0.000397243,0.00000399752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007256841,"about_ca_system_score_gemma":0.00004191756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005578368,"about_ca_topic_score_gemma":0.01132564,"domain_scores_codex":[0.9988788,0.0002416692,0.0002418413,0.0002541252,0.00007933682,0.000304278],"domain_scores_gemma":[0.9994785,0.0002129723,0.00004865077,0.00008623025,0.00001811084,0.0001555778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002061131,0.00003842606,0.138738,0.004209837,0.00001713988,0.008352583,0.4522935,0.000003272264,0.0001505307,0.0004708855,0.007650984,0.3878687],"study_design_scores_gemma":[0.002604301,0.0002549594,0.7071531,0.0009174341,0.00001770775,0.000002750896,0.224236,0.00004016089,0.000006219009,0.0005335512,0.06393107,0.0003026821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849424,0.04505026,0.00000230243,0.06907848,0.0001345878,0.0003735962,0.00001069374,0.00003452622,0.0003731846],"genre_scores_gemma":[0.9797651,0.01118761,0.00004949811,0.008766764,0.0001483228,0.00002825261,0.00003094979,0.00001261648,0.00001091338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5684152,"threshold_uncertainty_score":0.843286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06689964959448012,"score_gpt":0.3524552195986705,"score_spread":0.2855555700041904,"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."}}