{"id":"W3197106594","doi":"10.2196/19230","title":"Creating a Digital Toolkit to Reduce Fatigue and Promote Quality of Life in Multiple Sclerosis: Participatory Design and Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Session (web analytics); Computer science; Focus group; Participatory design; Digital health; Phone; Psychology; Pluralistic walkthrough; Applied psychology; Human–computer interaction; Multimedia; Health care; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04035046,0.0008989778,0.0008317548,0.002057508,0.002616083,0.002652914,0.001686569,0.001307316,0.001880035],"category_scores_gemma":[0.04350867,0.0007303579,0.001080913,0.001007207,0.00304758,0.00222651,0.004411965,0.001128437,0.0002759437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877703,"about_ca_system_score_gemma":0.003930016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134927,"about_ca_topic_score_gemma":0.002723375,"domain_scores_codex":[0.9690989,0.02564685,0.001247617,0.001234817,0.001484644,0.001287315],"domain_scores_gemma":[0.9501601,0.04115354,0.001375411,0.002431456,0.00340843,0.001471016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001603468,0.008650608,0.0268963,0.009450618,0.0002841055,0.002266209,0.6424665,0.002935911,0.01567384,0.003812131,0.003226891,0.2827334],"study_design_scores_gemma":[0.004831243,0.05405507,0.07384256,0.007833144,0.001363873,0.003295206,0.7033797,0.0135953,0.02175334,0.008307858,0.1070115,0.0007312494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600365,0.0004242796,0.02569232,0.0006021998,0.00005948553,0.009357437,0.0001184438,0.0001685443,0.003540879],"genre_scores_gemma":[0.8595085,0.0005953546,0.1211231,0.0005294315,0.00002765185,0.01612262,0.000129971,0.00009345556,0.00186998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04035046,"threshold_uncertainty_score":0.2133961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4875993079537772,"score_gpt":0.4978368438132852,"score_spread":0.0102375358595081,"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."}}