{"id":"W4225326189","doi":"10.2196/36065","title":"Monitoring Symptoms of COVID-19: Review of Mobile Apps","year":2022,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Cancer Institute","keywords":"mHealth; Coronavirus disease 2019 (COVID-19); Telemedicine; Mobile apps; Medicine; Telehealth; Health care; 2019-20 coronavirus outbreak; Disease management; Medical emergency; Internet privacy; Disease; Computer science; Health management system; Psychological intervention; Nursing; World Wide Web; Alternative medicine; Infectious disease (medical specialty); Pathology","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":[0.00548055,0.0009362779,0.002022461,0.009065882,0.0005505345,0.001753971,0.00159107,0.001088757,0.001996931],"category_scores_gemma":[0.03317912,0.0006070979,0.00214053,0.006772657,0.0006947847,0.002600893,0.001475108,0.000997562,0.0004309272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021086,"about_ca_system_score_gemma":0.005160159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814855,"about_ca_topic_score_gemma":0.006199423,"domain_scores_codex":[0.9953808,0.001177479,0.001843513,0.0004038477,0.001064935,0.0001295159],"domain_scores_gemma":[0.9551363,0.03521921,0.00449427,0.0003694603,0.004469624,0.0003110038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001764062,0.00003713522,0.001800805,0.4385423,0.0007338858,0.0002886998,0.0008586395,0.0001567654,0.0005110704,0.0005834064,0.009103255,0.5472077],"study_design_scores_gemma":[0.00009858829,0.0005035784,0.01691352,0.721666,0.006627164,0.002685791,0.001106487,0.0003936875,0.0007866755,0.0008224852,0.2483008,0.00009516982],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001242364,0.9967425,0.000288571,0.000481502,0.0001792434,0.0001151383,0.0002074918,0.00001495285,0.0007282874],"genre_scores_gemma":[0.008690402,0.988818,0.001115092,0.0005831961,0.0001426069,0.0002340521,0.0002393493,0.00001025147,0.0001670404],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009065882,"threshold_uncertainty_score":0.02898425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1989083409009281,"score_gpt":0.5572833322644929,"score_spread":0.3583749913635648,"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."}}