{"id":"W4392552094","doi":"10.31389/jltc.221","title":"The Golden Ticket: Gaining In-Person Access to Relatives in Long-Term Care Homes During the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Journal of Long-Term Care","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal; Simon Fraser University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Ticket; Term (time); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Long-term care; Internet privacy; Virology; Medicine; Computer security; Computer science; Nursing; Infectious disease (medical specialty); Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009811441,0.0002728959,0.0004824399,0.0005586369,0.0008098131,0.0002324103,0.0007885745,0.0002250509,0.00009965298],"category_scores_gemma":[0.0004907969,0.0001621317,0.0002355203,0.0007768921,0.00008988949,0.0004455622,0.0002130732,0.001776323,0.00001903784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063814,"about_ca_system_score_gemma":0.0009620906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852812,"about_ca_topic_score_gemma":0.005029151,"domain_scores_codex":[0.9968849,0.0007198127,0.0008930189,0.000316365,0.0005168507,0.0006690675],"domain_scores_gemma":[0.9971039,0.001627773,0.0003801365,0.0003614596,0.0002570611,0.0002697261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002070871,0.000008675745,0.8064172,0.001254035,0.00004519275,0.0007648689,0.18355,0.0001205758,0.00007048381,0.000007587594,0.0008963191,0.006657961],"study_design_scores_gemma":[0.0009424837,0.0001168907,0.8913603,0.003311686,0.00006625152,0.0001583128,0.1033824,0.000003288853,0.00001864791,0.00002266738,0.0004257195,0.0001913033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547393,0.03675182,0.00003864527,0.004607783,0.002670617,0.0007149012,0.00002376471,0.00004716165,0.0004060666],"genre_scores_gemma":[0.9966235,0.001503365,0.000009038237,0.0003349048,0.0009328017,0.00004430476,0.00001241003,0.00005071279,0.0004889464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08494309,"threshold_uncertainty_score":0.771734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07527381179394788,"score_gpt":0.4408383683461447,"score_spread":0.3655645565521968,"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."}}