{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009737511,0.0002835657,0.0004479404,0.0003631684,0.001036525,0.0001796146,0.00169663,0.00008204313,0.00002700695],"category_scores_gemma":[0.00005835222,0.0002488077,0.0002026108,0.0009440565,0.00008953021,0.0004349457,0.0001306198,0.0004090758,0.000004969323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003465909,"about_ca_system_score_gemma":0.0004073482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007407753,"about_ca_topic_score_gemma":0.00001447197,"domain_scores_codex":[0.9917759,0.005219761,0.001057305,0.0006295394,0.0005316095,0.0007858826],"domain_scores_gemma":[0.9960781,0.002261532,0.0007181519,0.0007653731,0.00007292216,0.0001039333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001404386,0.02005333,0.008040982,0.001894396,0.0007200588,0.00001016503,0.3738243,0.3918151,0.01238468,0.140559,0.01518819,0.03410537],"study_design_scores_gemma":[0.004464839,0.006835799,0.0398817,0.0004648051,0.0001788982,0.00001695648,0.03045646,0.8674525,0.002594554,0.04360291,0.002179074,0.001871529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04007348,0.0003726368,0.9550973,0.0002232008,0.00004757328,0.00402558,0.00001124019,0.0001284448,0.00002061652],"genre_scores_gemma":[0.9660113,0.0000112354,0.02785885,0.0003818441,0.00003188278,0.005585235,0.00005850007,0.0000302856,0.00003084487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9272384,"threshold_uncertainty_score":0.9999964,"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."}}