{"id":"W4396574666","doi":"10.2196/58318","title":"Recovery and Renewal of Co-Design Approaches in Health: Protocol for a Realist Synthesis","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Alberta Health; University of Alberta; Emily Carr University of Art and Design; Ontario College of Art and Design","funders":"","keywords":"Participatory design; Health care; Inclusion (mineral); Equity (law); Health equity; Digital health; Focus group; Knowledge management; Sociology; Public relations; Computer science; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2041184,0.005432253,0.006687632,0.01367029,0.01002457,0.01331526,0.006534016,0.01160515,0.08140233],"category_scores_gemma":[0.3632044,0.003756681,0.01278648,0.01286351,0.01181513,0.007759494,0.01162103,0.01526891,0.0133548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02037866,"about_ca_system_score_gemma":0.07160331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006433845,"about_ca_topic_score_gemma":0.01003697,"domain_scores_codex":[0.7976164,0.1364262,0.02974801,0.01000056,0.01914556,0.007063302],"domain_scores_gemma":[0.6517316,0.1911034,0.01927329,0.0506193,0.0826364,0.004635945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01975399,0.003532504,0.001616593,0.3073299,0.001660604,0.001902365,0.1113724,0.008860677,0.005491581,0.1204772,0.1285981,0.2894041],"study_design_scores_gemma":[0.02557083,0.00400162,0.003533885,0.1813169,0.001868194,0.0003022241,0.05066041,0.003622396,0.007821213,0.07113554,0.6495166,0.0006501204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0008240565,0.0003614064,0.005822497,0.0006245205,0.0005156354,0.9884597,0.001630444,0.000104076,0.001657708],"genre_scores_gemma":[0.0005031502,0.0001029822,0.007961902,0.0001178369,0.00001340647,0.9909539,0.00008821519,0.00001021924,0.0002483382],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.2041184,"threshold_uncertainty_score":0.9814637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6188032821910052,"score_gpt":0.5903853510660251,"score_spread":0.02841793112498014,"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."}}