{"id":"W2996112712","doi":"10.1080/17483107.2019.1696898","title":"Design and usability evaluation of COOK, an assistive technology for meal preparation for persons with severe TBI","year":2019,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke; Centre for Interdisciplinary Research in Rehabilitation; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Usability; Context (archaeology); Meal preparation; Rehabilitation; Population; Cognition; Psychology; Medicine; Applied psychology; Gerontology; Physical therapy; Computer science; Environmental health; Psychiatry; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003243151,0.0009970232,0.0005607837,0.0008118009,0.0005979335,0.0009222153,0.0008300079,0.0007083896,0.001724017],"category_scores_gemma":[0.006042775,0.0005140491,0.0008068786,0.0002965078,0.0006386975,0.0007704275,0.0007755281,0.0004028785,0.0002507618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006504562,"about_ca_system_score_gemma":0.0009174253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058201,"about_ca_topic_score_gemma":0.003543963,"domain_scores_codex":[0.9986457,0.000691187,0.000164686,0.000186808,0.0001971036,0.0001145196],"domain_scores_gemma":[0.9968221,0.001902397,0.0001442133,0.0001925458,0.0007275771,0.0002110598],"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":[0.01147772,0.01269558,0.06042042,0.01247442,0.0008219755,0.002994808,0.038139,0.008703001,0.201092,0.001267193,0.006882461,0.6430314],"study_design_scores_gemma":[0.005551704,0.1714759,0.4935503,0.003201761,0.004867637,0.006101109,0.04254103,0.04657681,0.1400591,0.001442402,0.08350784,0.001124382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769784,0.0003573788,0.01694826,0.0001040473,0.00003752338,0.003410626,0.0002086986,0.0005361647,0.001419063],"genre_scores_gemma":[0.8790618,0.000667043,0.1121722,0.0001678507,0.00002240463,0.004605075,0.0005389524,0.0001254786,0.002639325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003243151,"threshold_uncertainty_score":0.01715159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06303586433389216,"score_gpt":0.3905595616470497,"score_spread":0.3275236973131576,"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."}}