{"id":"W3128152120","doi":"10.1017/dmp.2021.27","title":"Text4Hope: Receiving Daily Supportive Text Messages for 3 Months During the COVID-19 Pandemic Reduces Stress, Anxiety, and Depression","year":2021,"lang":"en","type":"article","venue":"Disaster Medicine and Public Health Preparedness","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics; Alberta Health; University of Calgary; University of Alberta; Alberta Health Services","funders":"University of Alberta; Alberta Health Services","keywords":"Anxiety; Patient Health Questionnaire; Depression (economics); Distress; Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Perceived Stress Scale; Clinical psychology; Population; Psychiatry; Depressive symptoms; Psychology; Stress (linguistics); Internal medicine; Disease; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000325273,0.0002311013,0.0002044202,0.0002541157,0.0002325813,0.0002389391,0.0002649225,0.0003249847,0.008233831],"category_scores_gemma":[0.001488593,0.00006927869,0.0001965984,0.0001302388,0.0001005766,0.0002877498,0.0003711738,0.0003048166,0.0005382234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009819411,"about_ca_system_score_gemma":0.000193096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005709913,"about_ca_topic_score_gemma":0.001149364,"domain_scores_codex":[0.999885,0.0000426491,0.00001011159,0.00001516469,0.00002078345,0.00002630689],"domain_scores_gemma":[0.999616,0.0001328499,0.00009449688,0.00001879468,0.00002674201,0.0001110898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01645061,0.02661925,0.04971733,0.002393045,0.0002895163,0.0004759888,0.002154121,0.0004985228,0.04445113,0.0000999501,0.01071632,0.8461342],"study_design_scores_gemma":[0.007031726,0.1275747,0.8071481,0.0006134944,0.0008522901,0.0007259439,0.00404498,0.003045674,0.02846582,0.0003085095,0.02009922,0.00008959902],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969929,0.000249977,0.00026929,0.0002716794,0.00006187671,0.0001723864,0.0002630627,0.0001297471,0.001588976],"genre_scores_gemma":[0.9952437,0.0002957892,0.001544581,0.0002377141,0.0001176692,0.0002377749,0.000357112,0.000007724329,0.001957796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008233831,"threshold_uncertainty_score":0.02754498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09627843290967922,"score_gpt":0.4290660410859204,"score_spread":0.3327876081762412,"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."}}