{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000376038,0.0001910746,0.0002290874,0.0001810949,0.0003562175,0.0002851507,0.00009728628,0.0001111833,8.935208e-7],"category_scores_gemma":[0.001137144,0.0001689113,0.00001936676,0.0002775683,0.0004760688,0.001167579,0.000142929,0.0001364674,3.170417e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009342445,"about_ca_system_score_gemma":0.0001483561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002938128,"about_ca_topic_score_gemma":0.000007535293,"domain_scores_codex":[0.9986833,0.00009343288,0.0002575935,0.0006523084,0.0001344558,0.0001789194],"domain_scores_gemma":[0.9960027,0.003001964,0.0001516525,0.0001685765,0.0006018297,0.00007331994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001672628,0.0004157637,0.007979057,0.0003085741,0.00009460666,0.000002225324,0.03864076,0.000008990001,0.003518917,0.08429743,0.00008274961,0.8644837],"study_design_scores_gemma":[0.002090373,0.004480283,0.6927683,0.0004575043,0.00003759481,0.00002774314,0.1907635,0.02225127,0.01240526,0.07335147,0.0007079395,0.0006588286],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4508576,0.0001358149,0.5441751,0.003403886,0.00001395105,0.001237273,0.00001773845,0.0001151149,0.00004352484],"genre_scores_gemma":[0.7717791,0.00003480504,0.2270905,0.00005495157,0.000003078647,0.001004705,0.00001717774,0.0000060215,0.00000971007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8638248,"threshold_uncertainty_score":0.6888005,"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."}}