{"id":"W4400955603","doi":"10.3233/shti240147","title":"Family Care in Members with COVID-19 Using Telenursing","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Health care; Telemedicine; Hygiene; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Telehealth; Family medicine; Medical emergency; Nursing; Disease; Infectious disease (medical specialty); Virology; Political science","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":[0.001030382,0.0001733525,0.0003672315,0.001470587,0.0002698013,0.00003779133,0.0003364735,0.0001788733,2.360755e-7],"category_scores_gemma":[0.0003707334,0.0001482382,0.00001382801,0.002162396,0.0003984667,0.0004478432,0.0003081577,0.0006461343,0.000001933507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389378,"about_ca_system_score_gemma":0.001321653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002691422,"about_ca_topic_score_gemma":0.0004587899,"domain_scores_codex":[0.9982513,0.00007450268,0.0007131263,0.0002355259,0.0001666037,0.0005589536],"domain_scores_gemma":[0.9990715,0.0003178723,0.0001164253,0.000335851,0.00005136973,0.0001069666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004644085,0.00004008648,0.09390317,0.03982584,0.00009431761,0.0003516251,0.4003191,0.006933972,0.000005254393,0.1258302,0.0005157192,0.3321342],"study_design_scores_gemma":[0.003207502,0.002042485,0.003563851,0.01402518,0.00002207129,0.001266536,0.3814686,0.4542115,0.00006038007,0.02823842,0.1103386,0.001554833],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7864861,0.1001689,0.08494145,0.02423237,0.001273296,0.001189669,0.000008007175,0.001307362,0.0003927617],"genre_scores_gemma":[0.9449209,0.003756695,0.04671596,0.004542239,0.00001462544,0.00003467636,9.227473e-7,0.00001016106,0.000003816489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4472775,"threshold_uncertainty_score":0.6044978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08305405211275504,"score_gpt":0.4215893561539083,"score_spread":0.3385353040411533,"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."}}