{"id":"W3161208388","doi":"10.2196/29632","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":"Toronto Metropolitan University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Cross-sectional study; Mobile apps; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Family medicine; Psychology; Virology; Computer science; Disease; World Wide Web; Internal medicine; Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009670778,0.000254701,0.0007285519,0.001445524,0.002458903,0.002554032,0.00156796,0.001770414,0.03997895],"category_scores_gemma":[0.1649267,0.0002415525,0.0006593824,0.001214377,0.001128593,0.002006826,0.001571816,0.00175846,0.0113217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081428,"about_ca_system_score_gemma":0.007920511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007716201,"about_ca_topic_score_gemma":0.008096009,"domain_scores_codex":[0.9903048,0.002863255,0.001256795,0.0004538927,0.004420338,0.0007007945],"domain_scores_gemma":[0.7446299,0.02988462,0.01092131,0.006425228,0.1995736,0.008565362],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002404691,0.0002931571,0.06765568,0.002287907,0.0001550478,0.0009273764,0.004458699,0.00006083356,0.0007771391,0.0007853458,0.8549751,0.06738321],"study_design_scores_gemma":[0.0001282962,0.0006039757,0.3041692,0.003143718,0.0002028902,0.001203375,0.02626135,0.001049137,0.001519507,0.0008954377,0.6606649,0.00015819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4169482,0.007335428,0.003238922,0.3517157,0.08368637,0.00422751,0.02106233,0.0007554913,0.1110301],"genre_scores_gemma":[0.7746606,0.00879816,0.004021201,0.0478204,0.01917962,0.001943921,0.00817476,0.0007379222,0.1346635],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9903292,"threshold_uncertainty_score":0.1337429,"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."}}