{"id":"W4408312161","doi":"10.2196/68782","title":"Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Newcastle Biomedical Research Centre; Engineering and Physical Sciences Research Council; Deutsche Forschungsgemeinschaft; Newcastle University; European Commission; Parkinson's UK; National Institute for Health and Care Research; Weston Brain Institute; Intercept Pharmaceuticals; European Federation of Pharmaceutical Industries and Associations; Newcastle upon Tyne Hospitals NHS Foundation Trust; Wellcome Trust; Department of Health and Social Care; Michael J. Fox Foundation for Parkinson's Research","keywords":"Preprint; Delphi; Process (computing); Computer science; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":true,"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":[0.1540083,0.002561142,0.001494115,0.004064212,0.006389937,0.003505314,0.003258413,0.002895138,0.01109744],"category_scores_gemma":[0.1896266,0.00167876,0.001775111,0.002553204,0.007051929,0.005159511,0.01623422,0.005204571,0.002557626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006583113,"about_ca_system_score_gemma":0.01515412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647048,"about_ca_topic_score_gemma":0.003430753,"domain_scores_codex":[0.8401304,0.1350574,0.007962391,0.004921693,0.005618951,0.00630916],"domain_scores_gemma":[0.7519705,0.1827236,0.008510379,0.01104782,0.0388779,0.006869745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001105983,0.0006289164,0.002895694,0.002721283,0.00007228963,0.001424061,0.8797997,0.001484786,0.009326731,0.005406589,0.01173557,0.08339838],"study_design_scores_gemma":[0.0006261521,0.002010236,0.006700453,0.003261418,0.0001093479,0.0008760325,0.8652557,0.008466956,0.008994759,0.01902474,0.08425254,0.0004217311],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5891484,0.001104394,0.2339865,0.01452605,0.001258568,0.1413334,0.001250833,0.0007682993,0.0166237],"genre_scores_gemma":[0.5677624,0.001222172,0.234299,0.005285059,0.00040024,0.1853563,0.0005457725,0.0002887928,0.004840151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1540083,"threshold_uncertainty_score":0.8144836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0635342067391032,"score_gpt":0.509962856310346,"score_spread":0.4464286495712428,"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."}}