{"id":"W3095992212","doi":"10.2196/24021","title":"Videoconferencing-Based Telemental Health: Important Questions for the COVID-19 Era From Clinical and Patient-Centered Perspectives","year":2020,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences","keywords":"Mental health; Social distance; Telehealth; Psychological intervention; Videoconferencing; Telemedicine; Affect (linguistics); Telepsychiatry; Digital health; Nursing; Medicine; Health care; Adaptation (eye); Psychology; Medical education; Coronavirus disease 2019 (COVID-19); Psychiatry; Disease; Multimedia","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":[0.06972393,0.0006175113,0.001437531,0.001788875,0.00572401,0.01378662,0.003716754,0.02007445,0.01591989],"category_scores_gemma":[0.1230249,0.0004740999,0.001133193,0.0020805,0.0262288,0.03149474,0.008153314,0.02533689,0.001750509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008587393,"about_ca_system_score_gemma":0.02107928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006618759,"about_ca_topic_score_gemma":0.008830724,"domain_scores_codex":[0.9589272,0.03189524,0.001998567,0.00121763,0.004176143,0.001785175],"domain_scores_gemma":[0.7941768,0.1722631,0.005247401,0.00335905,0.01313305,0.01182065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002857266,0.0007902124,0.004054673,0.005240086,0.00007662139,0.001045525,0.03108254,0.000329566,0.0004896511,0.3648226,0.2192528,0.3725301],"study_design_scores_gemma":[0.0001966738,0.0005790668,0.005977946,0.03108952,0.0001026088,0.002130702,0.1567465,0.0008507823,0.0004777818,0.3096055,0.4919741,0.0002688679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001068257,0.02570226,0.0005543707,0.9685457,0.001295235,0.00001846942,0.00002276937,0.000008310629,0.002784619],"genre_scores_gemma":[0.1546134,0.1819546,0.01001979,0.6178794,0.03082054,0.0007403434,0.0001359186,0.00009477388,0.003741321],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06972393,"threshold_uncertainty_score":0.3687398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084838410463888,"score_gpt":0.4580278408711382,"score_spread":0.3495439998247493,"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."}}