{"id":"W4224311522","doi":"10.2196/25880","title":"A Participatory Design Approach to Develop Visualization of Wearable Actigraphy Data for Health Care Professionals: Case Study in Qatar","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Strong","keywords":"Participatory design; Wearable computer; Health care; Activity tracker; Heuristic evaluation; Usability; Health informatics; Computer science; Human–computer interaction; Knowledge management; Engineering","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":[0.001209684,0.0001690964,0.0002787032,0.0009140262,0.0006271455,0.0000364448,0.001154035,0.00004939926,0.00001260795],"category_scores_gemma":[0.00009154983,0.0001698857,0.00002055115,0.00200284,0.00003210215,0.0005771473,0.000908934,0.0002651184,0.000001073852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003348435,"about_ca_system_score_gemma":0.0003748857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002286394,"about_ca_topic_score_gemma":0.0002595507,"domain_scores_codex":[0.9975443,0.0005739955,0.0005352251,0.0006484981,0.0003714463,0.0003264842],"domain_scores_gemma":[0.998278,0.0001116761,0.000333163,0.0009341845,0.0002920272,0.00005101037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002826611,0.01302121,0.1031712,0.0006701999,0.0003144547,0.0001669815,0.8146523,0.001968547,0.002226223,0.02824285,0.03049611,0.004787229],"study_design_scores_gemma":[0.006179118,0.01131228,0.1087879,0.0002643011,0.00005108385,0.0001816334,0.8264101,0.02519266,0.01002373,0.0008418988,0.008471224,0.002283998],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909407,0.00002766706,0.1054396,0.00006306,0.0001791389,0.003161684,0.00004997652,0.0001160323,0.00002221358],"genre_scores_gemma":[0.9916907,1.054751e-7,0.00638102,0.0001621986,0.00001074213,0.001581707,0.0001337046,0.00001812989,0.00002167295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1007501,"threshold_uncertainty_score":0.6927736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2602182934239954,"score_gpt":0.4664712389617112,"score_spread":0.2062529455377158,"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."}}