{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880991,0.00007858987,0.0001118065,0.0001429367,0.001272784,0.0001565099,0.000126864,0.00003178051,0.00002379662],"category_scores_gemma":[0.0002893374,0.00008825011,0.00001526186,0.0004115339,0.00002347486,0.0004329392,0.0001554009,0.0001228236,0.000007217661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008117579,"about_ca_system_score_gemma":0.0000176231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005515146,"about_ca_topic_score_gemma":7.595457e-7,"domain_scores_codex":[0.9992387,0.000002705628,0.0001864486,0.0002935763,0.0001164498,0.0001620851],"domain_scores_gemma":[0.9996611,0.00002726379,0.0001356723,0.00007779327,0.00009090824,0.000007246242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001216756,0.0001151214,0.02236072,0.00009559698,0.00004170834,4.666628e-7,0.002627927,0.00006778588,0.0005284416,0.597564,0.1302574,0.2462192],"study_design_scores_gemma":[0.0009246151,0.00007849456,0.01496754,0.00004055203,0.00001890256,0.000001866806,0.01216223,0.005755108,0.0006427649,0.4195462,0.5452948,0.000566894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.692463,0.0001618325,0.2502525,0.03773239,0.0006328969,0.003376944,0.0001017528,0.0008798792,0.01439878],"genre_scores_gemma":[0.9825667,9.650587e-7,0.01111738,0.00513083,0.0002245018,0.0004753759,0.0001901021,0.000016979,0.0002771572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4150374,"threshold_uncertainty_score":0.9789351,"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."}}