{"id":"W114133067","doi":"10.3233/tad-2002-14304","title":"The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress","year":2002,"lang":"en","type":"article","venue":"Technology and Disability","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":504,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Equivalence (formal languages); User satisfaction; Consistency (knowledge bases); Relevance (law); Assistive technology; Nomological network; Internal consistency; Measure (data warehouse); Psychology; Test (biology); Factorial analysis; Computer science; Applied psychology; Human–computer interaction; Mathematics; Psychometrics; Artificial intelligence; Clinical psychology; Statistics; Data mining; Political science; Machine learning","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":[0.006218748,0.0006997652,0.001060261,0.004710288,0.001221845,0.002073677,0.0008441001,0.0006700385,0.004287056],"category_scores_gemma":[0.008290301,0.0002100541,0.0008040725,0.006327839,0.0006823013,0.0008119626,0.0007359721,0.0006750246,0.0005955461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01442332,"about_ca_system_score_gemma":0.01067767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8484253,"about_ca_topic_score_gemma":0.8788906,"domain_scores_codex":[0.9961312,0.001134473,0.0002860098,0.0002611757,0.001931275,0.0002557682],"domain_scores_gemma":[0.984482,0.002895962,0.0006574209,0.0001919716,0.01108376,0.0006887609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000880626,0.0003312812,0.2064759,0.001510789,0.000252967,0.0001380467,0.001282472,0.001001194,0.0007778645,0.001688204,0.03376363,0.751897],"study_design_scores_gemma":[0.0001343771,0.0004827568,0.8322178,0.001505964,0.0002763984,0.0003613381,0.001469944,0.003331988,0.001279724,0.0003709691,0.1583945,0.0001743123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.553779,0.232026,0.02101388,0.0108447,0.0009529065,0.002494536,0.03189225,0.001373917,0.1456227],"genre_scores_gemma":[0.823813,0.09892544,0.02123251,0.002517262,0.0003498546,0.002632394,0.02006149,0.000356321,0.0301118],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8484253,"threshold_uncertainty_score":0.3049347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306235473973797,"score_gpt":0.4519449367798098,"score_spread":0.32132138938243,"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."}}