{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009583936,0.0006310402,0.0004484507,0.001124356,0.004620266,0.006045255,0.001893929,0.005252863,0.007532404],"category_scores_gemma":[0.02003712,0.000260117,0.001006325,0.0008602492,0.005311396,0.009848108,0.01334998,0.008078344,0.000909721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003531818,"about_ca_system_score_gemma":0.01807231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006639389,"about_ca_topic_score_gemma":0.01131531,"domain_scores_codex":[0.9939328,0.003974538,0.0002696471,0.0001845971,0.0006494123,0.0009889229],"domain_scores_gemma":[0.9841186,0.007604148,0.0005358737,0.0004662127,0.001181761,0.006093404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001507371,0.002803365,0.007739375,0.003273266,0.00006888412,0.002243549,0.02750047,0.0008892407,0.0006109063,0.1151093,0.1873862,0.6522247],"study_design_scores_gemma":[0.0004458661,0.001977101,0.01116117,0.0126018,0.0001502067,0.002572877,0.1121686,0.001843962,0.002263848,0.07879238,0.7758651,0.0001571009],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03457954,0.01338726,0.007387729,0.8851076,0.002899468,0.0006618268,0.0001313028,0.0002353875,0.05560995],"genre_scores_gemma":[0.6074656,0.0707627,0.06352598,0.230818,0.00287393,0.001981619,0.0004301961,0.0001885723,0.02195349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009583936,"threshold_uncertainty_score":0.05068529,"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."}}