{"id":"W3163413026","doi":"10.2196/29634","title":"Peer Review of “Mobile App–Reported Use of Traditional Medicine for Maintenance of Health in India During the COVID-19 Pandemic: Cross-sectional Questionnaire Study”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Cross-sectional study; Coronavirus disease 2019 (COVID-19); Mobile apps; 2019-20 coronavirus outbreak; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Family medicine; Virology; Computer science; World Wide Web; Disease; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005222765,0.0001334683,0.0008132621,0.0002078341,0.00007265262,0.00000823024,0.0001750788,0.00007938804,0.0002577048],"category_scores_gemma":[0.0165257,0.0001173812,0.0001375112,0.0005594922,0.0001966091,0.0001404233,0.00004140693,0.0001780352,0.000001411972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004946386,"about_ca_system_score_gemma":0.000638065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008125389,"about_ca_topic_score_gemma":0.0001648568,"domain_scores_codex":[0.9970889,0.000103143,0.002024196,0.0003491594,0.0002065544,0.0002280161],"domain_scores_gemma":[0.996709,0.0007246,0.001611073,0.0003934915,0.0004660932,0.00009570182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006588801,0.0003172494,0.9874411,0.003347937,0.0000770496,0.000003703992,0.001103664,0.0001813915,0.00006363977,0.002629612,0.004638433,0.0001303513],"study_design_scores_gemma":[0.002099219,0.0001639153,0.9719285,0.000777575,0.000008118815,0.00003793327,0.0001135586,0.000060009,0.0000222761,0.002413084,0.02227233,0.0001035003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636261,0.01432154,0.002104414,0.01529751,0.0005255387,0.00274504,0.00120633,0.00003104543,0.0001424292],"genre_scores_gemma":[0.9939699,0.001792935,0.00008841357,0.002188691,0.00006703364,0.0002560942,0.0001238923,0.00001677917,0.001496238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03034377,"threshold_uncertainty_score":0.9917585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2263272603361997,"score_gpt":0.3927239808332658,"score_spread":0.1663967204970661,"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."}}