{"id":"W3175311618","doi":"10.1177/20552076211028404","title":"Developing a digital health strategy for people who use drugs: Lessons from COVID-19","year":2021,"lang":"en","type":"article","venue":"Digital Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Canadian Centre for Policy Alternatives; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Harm reduction; Coronavirus disease 2019 (COVID-19); Harm; Mental health; Digital health; Health care; Closure (psychology); Medicine; Telecare; Public relations; Telemedicine; Nursing; Political science; Psychiatry; Public health; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002998302,0.0002745694,0.0008464957,0.0001449185,0.0003802646,0.0003081773,0.00009328094,0.00008091902,0.00005872243],"category_scores_gemma":[0.0008323178,0.0002680292,0.0001279446,0.0004910556,0.00004382258,0.0007873222,0.00006488832,0.0002217786,0.00002524014],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084057,"about_ca_system_score_gemma":0.01246467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664869,"about_ca_topic_score_gemma":0.001324605,"domain_scores_codex":[0.9969522,0.0000551478,0.0009889707,0.0006253204,0.000455298,0.0009231058],"domain_scores_gemma":[0.9969468,0.0006918181,0.0003684073,0.0003798236,0.00022156,0.001391658],"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":[0.0005313648,0.0006066453,0.06640413,0.004715214,0.0001931044,0.00006705595,0.01719951,0.00001260776,0.000004780731,0.01486733,0.107725,0.7876732],"study_design_scores_gemma":[0.01619779,0.004799447,0.133801,0.001334944,0.00005926181,0.0003110221,0.05485892,0.0004330581,0.0001042632,0.01007574,0.7770824,0.0009420746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5650814,0.002248237,0.100023,0.3186369,0.0005642069,0.00354094,0.008565591,0.0005147477,0.0008249794],"genre_scores_gemma":[0.9259983,0.0004026705,0.002608677,0.05725808,0.0004043035,0.00009742337,0.01244583,0.00006427368,0.0007204844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7867312,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412206649632257,"score_gpt":0.447778108655683,"score_spread":0.3065574436924573,"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."}}