{"id":"W4313119760","doi":"10.2196/38080","title":"Protecting Older Adult Residents in Care Facilities Against Influenza and COVID-19 Using the Influenza Communication, Advice and Reporting (FluCARE) App: Prospective Cohort Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government","keywords":"Workload; Medicine; Outbreak; Medical emergency; Health care; Public health; Nursing; Family medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005243023,0.0008079385,0.0008344209,0.001089588,0.00280783,0.001638777,0.001085159,0.001386086,0.004521939],"category_scores_gemma":[0.005404587,0.001508043,0.002105327,0.0009477328,0.0006371411,0.001646463,0.001457183,0.002351695,0.001498504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230221,"about_ca_system_score_gemma":0.002329306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02470015,"about_ca_topic_score_gemma":0.03641236,"domain_scores_codex":[0.9978193,0.00056144,0.0002304378,0.0005640518,0.0004009294,0.0004238143],"domain_scores_gemma":[0.9974929,0.0004195232,0.0006232873,0.0003203302,0.0007760998,0.0003678444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00267031,0.01016908,0.9552238,0.0008386074,0.001008673,0.0004918291,0.009720625,0.00008097482,0.0009884326,0.0002548988,0.003551192,0.01500162],"study_design_scores_gemma":[0.0009758822,0.01920229,0.940203,0.0009600638,0.001196919,0.000925641,0.02781073,0.0008299876,0.0005521159,0.0003617237,0.006818053,0.0001634558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933854,0.0006556405,0.0007645542,0.0001602381,0.000053556,0.00244902,0.001643645,0.00001627532,0.000871659],"genre_scores_gemma":[0.9836712,0.0009145762,0.003521014,0.001303685,0.00009136718,0.006867769,0.001345523,0.00002401647,0.002260885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02470015,"threshold_uncertainty_score":0.0491128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.203301214184766,"score_gpt":0.5485200192563325,"score_spread":0.3452188050715665,"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."}}