{"id":"W4295094359","doi":"10.2196/41096","title":"Digital Health for Vulnerable Populations: From Co-design to Scaling and Replication","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Participatory design; Design technology; Process (computing); Telehealth; Digital health; Knowledge management; Computer science; Process management; Health care; Business; Telemedicine; Engineering; Political science; Operations management; Parallels","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.301954,0.002357069,0.002322706,0.006635142,0.004364062,0.01307369,0.006485568,0.003074561,0.006097729],"category_scores_gemma":[0.3779998,0.00169489,0.003773631,0.003786092,0.01550953,0.01255328,0.01772668,0.004328786,0.001271712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008768,"about_ca_system_score_gemma":0.02294608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482378,"about_ca_topic_score_gemma":0.002819561,"domain_scores_codex":[0.5623247,0.3966362,0.01061262,0.009744623,0.0181603,0.002521653],"domain_scores_gemma":[0.5746863,0.3154941,0.009743603,0.06594632,0.03081389,0.003315703],"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":[0.00106091,0.002292575,0.01299001,0.01452486,0.001406809,0.000473642,0.06869364,0.01220895,0.002123262,0.1423178,0.01071418,0.7311934],"study_design_scores_gemma":[0.003503091,0.01057871,0.009357696,0.03826435,0.002625278,0.000931542,0.0646923,0.04853523,0.0104511,0.5653506,0.245119,0.0005911274],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07865739,0.01793491,0.7781836,0.02175176,0.002086633,0.05294123,0.0006775301,0.001914291,0.04585262],"genre_scores_gemma":[0.2358499,0.00400946,0.7230452,0.002202623,0.0002937947,0.03209535,0.0002697992,0.0004002785,0.001833515],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.301954,"threshold_uncertainty_score":0.8608149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08650416301991952,"score_gpt":0.3075903579792097,"score_spread":0.2210861949592902,"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."}}