{"id":"W3209083966","doi":"10.2196/26629","title":"An Immersive and Interactive Platform for Cognitive Assessment and Rehabilitation (bWell): Design and Iterative Development Process","year":2021,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Process (computing); Iterative design; Human–computer interaction; Cognition; Affordance; Agile software development; Usability; Domain (mathematical analysis); Process management; Software engineering; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02054554,0.0014222,0.0004343371,0.002366625,0.001344089,0.003036469,0.00276121,0.001125195,0.003263709],"category_scores_gemma":[0.02662082,0.0008360011,0.001061479,0.0007555651,0.00283764,0.002815888,0.005635067,0.001795554,0.001282893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604725,"about_ca_system_score_gemma":0.007984346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505161,"about_ca_topic_score_gemma":0.002532213,"domain_scores_codex":[0.9890682,0.006546774,0.0005950276,0.0007666303,0.00255582,0.0004674034],"domain_scores_gemma":[0.9826125,0.009299085,0.0007030636,0.001503487,0.004490159,0.001391646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007268763,0.002939536,0.01004039,0.004239497,0.0001694219,0.002824531,0.09497829,0.01754599,0.04470608,0.04394062,0.01542459,0.7624642],"study_design_scores_gemma":[0.001525948,0.009952543,0.02164082,0.009143787,0.0006592455,0.005250567,0.05290138,0.09612458,0.07313287,0.07102633,0.6577957,0.0008462489],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08343261,0.0005671218,0.8811472,0.0009343254,0.000203218,0.01784697,0.0002752047,0.001529269,0.01406399],"genre_scores_gemma":[0.06539923,0.0003561041,0.9196172,0.0001670791,0.00001842294,0.01090951,0.0002865797,0.0002423076,0.003003583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02054554,"threshold_uncertainty_score":0.1086565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833646857093471,"score_gpt":0.3608430211094739,"score_spread":0.3325065525385392,"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."}}