{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04861476,0.002009128,0.009369893,0.2694338,0.002945736,0.01038139,0.003002507,0.002587973,0.007726989],"category_scores_gemma":[0.2586698,0.001462989,0.007519034,0.2515385,0.00301838,0.008338262,0.006329771,0.00113498,0.0008728686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0119776,"about_ca_system_score_gemma":0.0374201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01299688,"about_ca_topic_score_gemma":0.0187403,"domain_scores_codex":[0.9335595,0.01634435,0.02995698,0.003432767,0.01533303,0.001373339],"domain_scores_gemma":[0.7250986,0.2095346,0.02972364,0.005004792,0.02922985,0.001408469],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001671982,0.0000659179,0.009929861,0.8474827,0.005860238,0.0004781156,0.003412036,0.0006594258,0.0003608146,0.002536644,0.005508816,0.1235383],"study_design_scores_gemma":[0.0001436397,0.0002634639,0.03478019,0.8449878,0.03955155,0.0007592961,0.01095906,0.001344366,0.0007263328,0.003559334,0.06273886,0.0001860604],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04199395,0.8942508,0.005614429,0.006109955,0.0007866937,0.01503475,0.02349027,0.0002467846,0.01247239],"genre_scores_gemma":[0.1551124,0.7984205,0.01434965,0.001163622,0.000444941,0.01911565,0.01032821,0.00009315332,0.0009719064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9513853,"threshold_uncertainty_score":0.2571025,"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."}}