{"id":"W3017053994","doi":"10.1017/dmp.2020.114","title":"Coronavirus Disease 2019 Pandemic: Health System and Community Response to a Text Message (Text4Hope) Program Supporting Mental Health in Alberta","year":2020,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mental health; Pandemic; Isolation (microbiology); Coronavirus disease 2019 (COVID-19); Service (business); Quarantine; Text message; Nursing; Psychology; Medicine; Disease; Psychiatry; Business; Computer science; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001667493,0.0003267976,0.0001312446,0.0004281276,0.005564252,0.001403451,0.001668216,0.0006756303,0.007542039],"category_scores_gemma":[0.001834679,0.0002326425,0.0002720192,0.0004187899,0.001275682,0.0004243342,0.002889676,0.001517271,0.0004499648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02546557,"about_ca_system_score_gemma":0.08788925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8638335,"about_ca_topic_score_gemma":0.9618515,"domain_scores_codex":[0.9990317,0.000203886,0.00001164902,0.0000367744,0.0001932758,0.0005227861],"domain_scores_gemma":[0.9975789,0.0001289642,0.00005972514,0.0000255313,0.0002088538,0.001998137],"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":[0.001876398,0.009454411,0.1096929,0.0006859809,0.0001123121,0.002002752,0.01745994,0.001569003,0.004954397,0.006474691,0.2973223,0.5483948],"study_design_scores_gemma":[0.002159207,0.004183752,0.6752552,0.0006046148,0.0001600363,0.0003445192,0.04584331,0.002836347,0.001886427,0.002439861,0.2641406,0.0001461485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213491,0.002071124,0.00154501,0.06040768,0.001047138,0.002995137,0.001192066,0.0005295657,0.1088632],"genre_scores_gemma":[0.9126328,0.002301964,0.008016272,0.01779686,0.0004345788,0.001055988,0.001299189,0.00005889657,0.05640351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1361665,"threshold_uncertainty_score":0.2739367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1620110578264351,"score_gpt":0.4770705921902986,"score_spread":0.3150595343638635,"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."}}