{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006374975,0.0004227256,0.001098233,0.0002941566,0.0007201672,0.0001004043,0.0003784038,0.00009747095,0.0001266221],"category_scores_gemma":[0.000612481,0.0003810771,0.00006855464,0.0006676639,0.0002795248,0.0003702676,0.0004260167,0.0007555045,0.00005537079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007957837,"about_ca_system_score_gemma":0.001200251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03475249,"about_ca_topic_score_gemma":0.008132825,"domain_scores_codex":[0.9898476,0.005295594,0.002057428,0.0008412989,0.0003996593,0.001558422],"domain_scores_gemma":[0.9933262,0.0006822023,0.0006963552,0.0006580233,0.00006434294,0.0045729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002522254,0.001492685,0.01886097,0.003771503,0.00005360269,0.00001836574,0.528748,3.047834e-7,0.000001233154,0.0009866502,0.02688433,0.4166601],"study_design_scores_gemma":[0.009228905,0.01701285,0.1001598,0.005777102,0.00001796073,0.0002207455,0.5238702,0.000314563,1.141978e-7,0.00008240108,0.342542,0.0007733332],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7055564,0.00267592,0.00009518312,0.285573,0.000584817,0.004028469,0.0005352556,0.0002074477,0.0007435359],"genre_scores_gemma":[0.9496668,0.00005882179,0.0000699414,0.04846372,0.0001063622,0.0005861453,0.0005337968,0.00006066882,0.0004537495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4158868,"threshold_uncertainty_score":0.9998641,"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."}}