{"id":"W4250284745","doi":"10.2196/preprints.26629","title":"An Immersive and Interactive Platform for Cognitive Assessment and Rehabilitation (bWell): Design and Iterative Development Process (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Process (computing); Affordance; Cognition; Agile software development; Human–computer interaction; Iterative design; Domain (mathematical analysis); Iterative and incremental development; Process management; Software engineering; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009757021,0.0006997788,0.000279449,0.001406868,0.0008942232,0.002100717,0.001093468,0.000552427,0.02092159],"category_scores_gemma":[0.01638031,0.0004998251,0.0004311395,0.0006680638,0.001011406,0.001532808,0.002868254,0.0008536311,0.007965604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202341,"about_ca_system_score_gemma":0.005338673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740492,"about_ca_topic_score_gemma":0.002121079,"domain_scores_codex":[0.9956133,0.002466634,0.0002876455,0.0003353721,0.001132742,0.0001642389],"domain_scores_gemma":[0.9878367,0.005631938,0.0004302776,0.0008842322,0.004497584,0.0007193297],"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":[0.0006794431,0.0007569427,0.003668671,0.001919386,0.0000506018,0.001207985,0.03354647,0.007007238,0.03317928,0.04253046,0.1608566,0.714597],"study_design_scores_gemma":[0.0002775199,0.001467243,0.007471788,0.001480779,0.00005725053,0.0007234088,0.009486277,0.0205557,0.03534361,0.009951559,0.9130045,0.0001804478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05010891,0.000472651,0.8663766,0.002453791,0.001538282,0.01912103,0.003129686,0.005643595,0.05115552],"genre_scores_gemma":[0.06844731,0.000641037,0.8490859,0.0004482068,0.0001377537,0.01947189,0.003476972,0.002186111,0.05610481],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02092159,"threshold_uncertainty_score":0.06998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363591100715533,"score_gpt":0.3734374532872247,"score_spread":0.3370783432156714,"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."}}