{"id":"W4394580673","doi":"10.2196/58810","title":"Correction: Mobile Apps for COVID-19 Detection and Diagnosis for Future Pandemic Control: Multidimensional Systematic Review","year":2024,"lang":"en","type":"erratum","venue":"JMIR mhealth and uhealth","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data science; Medicine; Virology; Disease; Outbreak","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":[0.01969363,0.003903982,0.004213893,0.006592984,0.003214802,0.006659765,0.005031738,0.01161527,0.07203258],"category_scores_gemma":[0.2377695,0.002163414,0.005148706,0.005757907,0.003144796,0.004860516,0.003776683,0.01428894,0.02744417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006623583,"about_ca_system_score_gemma":0.01992148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03278879,"about_ca_topic_score_gemma":0.04122935,"domain_scores_codex":[0.9784707,0.005254285,0.005084645,0.001804461,0.008177447,0.001208417],"domain_scores_gemma":[0.8963768,0.04323836,0.008417556,0.003807418,0.04563033,0.002529577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00004557256,0.000004223764,0.00006798347,0.001833303,0.0000669727,0.0001154922,0.00005226246,0.00002788477,0.00001865741,0.0004758567,0.9932923,0.003999503],"study_design_scores_gemma":[0.0004127845,0.00005244885,0.001160957,0.0149468,0.0007444818,0.0006176696,0.0002487443,0.0003389952,0.0002590056,0.003075755,0.9779934,0.0001489587],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001130788,0.004701011,0.0007510124,0.1459737,0.8395294,0.0001841308,0.005929037,0.0004879754,0.002330704],"genre_scores_gemma":[0.01167408,0.03703126,0.008129694,0.4188697,0.4206418,0.002507691,0.007619162,0.002183685,0.09134299],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07203258,"threshold_uncertainty_score":0.2409729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04690555506853309,"score_gpt":0.4089395527260607,"score_spread":0.3620339976575276,"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."}}