{"id":"W4296663016","doi":"10.2196/37313","title":"Electronic Co-design (ECO-design) Workshop for Increasing Clinician Participation in the Design of Health Services Interventions: Participatory Design Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Persona Design and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Center for Innovations in Quality, Effectiveness and Safety; Agency for Healthcare Research and Quality; National Institutes of Health; Cancer Research UK; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Participatory design; Psychological intervention; Co-design; Citizen journalism; Engineering management; Computer science; Knowledge management; Engineering; Psychology; Process management; Business; Medicine; Nursing; World Wide Web; Operations management; Computer architecture","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":[],"consensus_categories":[],"category_scores_codex":[0.09235784,0.001459773,0.0007684522,0.002441504,0.005199133,0.003402354,0.003325508,0.002387878,0.008532253],"category_scores_gemma":[0.06414033,0.001357926,0.001061822,0.0014673,0.004963571,0.003427786,0.009177025,0.002596213,0.001120763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002954358,"about_ca_system_score_gemma":0.01309899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009508509,"about_ca_topic_score_gemma":0.002332692,"domain_scores_codex":[0.885962,0.1021404,0.002672001,0.003911823,0.003735204,0.0015786],"domain_scores_gemma":[0.901818,0.07703863,0.003439903,0.007105283,0.007140314,0.00345788],"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":[0.002092645,0.008065172,0.01021227,0.008597478,0.0002187166,0.002105867,0.3335829,0.007081139,0.02815318,0.02857145,0.01711845,0.5542008],"study_design_scores_gemma":[0.00715797,0.01637637,0.02733076,0.0107827,0.0005734704,0.002983787,0.2908018,0.02872076,0.04916754,0.08787247,0.4774245,0.000807989],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1799254,0.0006976335,0.6963192,0.006378288,0.0006273991,0.08494665,0.0003849172,0.0008591192,0.02986141],"genre_scores_gemma":[0.2915211,0.0004674139,0.6392372,0.001519771,0.00008546411,0.06299098,0.0001134498,0.0001190461,0.003945563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09235784,"threshold_uncertainty_score":0.4884408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2535776021382387,"score_gpt":0.4270260289943817,"score_spread":0.173448426856143,"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."}}