{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007986212,0.0001613048,0.0002566582,0.0004187755,0.002597214,0.0007105079,0.000280215,0.0004442866,0.005621497],"category_scores_gemma":[0.006400527,0.0001467764,0.0002871901,0.0004807979,0.0004084031,0.0008192065,0.0009304256,0.0006619208,0.0003397195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009009127,"about_ca_system_score_gemma":0.001292691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452498,"about_ca_topic_score_gemma":0.02224422,"domain_scores_codex":[0.9992414,0.0004146571,0.00004631745,0.00006410066,0.00008194378,0.0001516625],"domain_scores_gemma":[0.9980296,0.0006816678,0.0004848411,0.00006874569,0.0002379839,0.0004971195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002642354,0.0009753807,0.8211795,0.000374911,0.00006818127,0.00652318,0.09235045,0.00008174218,0.0006556723,0.0004581116,0.007086696,0.0699819],"study_design_scores_gemma":[0.00005686705,0.00168309,0.5764977,0.00150061,0.0001097582,0.01054659,0.3888689,0.0002384395,0.0005314912,0.0008387763,0.01906374,0.00006408887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926278,0.00130074,0.00009396252,0.00118044,0.00005702007,0.00004067121,0.00009609515,0.000003134815,0.004600214],"genre_scores_gemma":[0.9962359,0.001608463,0.0001950055,0.0006450487,0.00003218525,0.00003704093,0.0000668322,0.000001711707,0.001177741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452498,"threshold_uncertainty_score":0.02888089,"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."}}