{"id":"W3205293540","doi":"10.2196/32948","title":"The Application of e-Mental Health in Response to COVID-19: Scoping Review and Bibliometric Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Mental health; CINAHL; PsycINFO; Pandemic; MEDLINE; Coronavirus disease 2019 (COVID-19); Psychology; Medicine; Psychological intervention; Psychiatry; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003000127,0.0001535447,0.0005704014,0.00833248,0.0003502358,0.00003400504,0.0001901091,0.00004274188,0.0001322008],"category_scores_gemma":[0.0001361338,0.0001400338,0.0001283016,0.05531913,0.00007756104,0.00009495711,0.0001563918,0.0001468634,0.00005494638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082655,"about_ca_system_score_gemma":0.0006846334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154479,"about_ca_topic_score_gemma":0.004551468,"domain_scores_codex":[0.9964316,0.001029923,0.001231937,0.0004979441,0.0002904192,0.0005181985],"domain_scores_gemma":[0.9979676,0.0003247936,0.0004628507,0.0005165831,0.00004255751,0.0006856286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002353836,0.003938587,0.03101849,0.0245003,0.0004231031,0.00001167303,0.006793485,0.000006241781,0.0000766923,0.005445809,0.05534923,0.8700826],"study_design_scores_gemma":[0.005373581,0.005299735,0.8505423,0.02354512,0.0001151377,0.0002077301,0.00629604,0.00006922388,0.00008910171,0.0005372093,0.1071436,0.0007811408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2361644,0.2684311,0.0009512813,0.4787284,0.0007096445,0.01294919,0.001270789,0.0001004486,0.0006947162],"genre_scores_gemma":[0.9349583,0.01079926,0.0005430954,0.05055844,0.00002426217,0.001473974,0.0003882004,0.00003595187,0.001218528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8693014,"threshold_uncertainty_score":0.9647605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0653821187623333,"score_gpt":0.5256209751933479,"score_spread":0.4602388564310146,"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."}}