{"id":"W3022034760","doi":"10.1016/j.jagp.2020.04.024","title":"“Remote Monitoring of Intranasal Ketamine Self-Administration as Maintenance Therapy in Treatment-Resistant Depression (TRD): A Novel Strategy for Vulnerable and At-Risk Populations to COVID-19?”","year":2020,"lang":"en","type":"article","venue":"American Journal of Geriatric Psychiatry","topic":"Treatment of Major Depression","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Ketamine; Depression (economics); Telemedicine; Nasal administration; Disease; Medicine; Treatment-resistant depression; Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychiatry; Health care; Major depressive disorder; Virology; Internal medicine; Infectious disease (medical specialty); Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001596358,0.0002442645,0.0003136159,0.0001659653,0.0002635306,0.0005853385,0.0006577217,0.001157411,0.001694494],"category_scores_gemma":[0.0059124,0.0001106631,0.0002802051,0.0001422549,0.0004981019,0.001022717,0.0003675305,0.001284884,0.0004145634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003246862,"about_ca_system_score_gemma":0.0008298928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446925,"about_ca_topic_score_gemma":0.004845094,"domain_scores_codex":[0.9995265,0.00022232,0.00005634128,0.0000669548,0.00009241745,0.00003539452],"domain_scores_gemma":[0.9984447,0.0004735649,0.0005014257,0.0001157717,0.0003131543,0.0001513327],"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":[0.004149106,0.00066211,0.03693256,0.0006684119,0.0001937765,0.0007821494,0.0005831394,0.0002723565,0.007681168,0.002164234,0.05504761,0.8908634],"study_design_scores_gemma":[0.006946719,0.01891541,0.4733054,0.006405278,0.002602035,0.01230081,0.003921191,0.01187314,0.02887826,0.02055092,0.413766,0.0005347905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4344642,0.08373302,0.04807729,0.365305,0.01359479,0.0007558539,0.0006533742,0.001185732,0.05223083],"genre_scores_gemma":[0.8562384,0.02539731,0.0302569,0.07296176,0.008619935,0.0004136628,0.0002674545,0.00006452909,0.005780094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001694494,"threshold_uncertainty_score":0.008442461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03716196225876699,"score_gpt":0.3411527169614283,"score_spread":0.3039907547026613,"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."}}