{"id":"W4289133697","doi":"10.3390/ijerph19159349","title":"Cross-Cultural Validation of Quebec User Satisfaction with Assistive Technology 2.0 for Spanish Population (QUEST-2.0 ES)","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Assistive technology; User satisfaction; Psychology; Geography; Computer science; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007529119,0.0005720897,0.0003743088,0.001386573,0.001282155,0.0006705179,0.0007848155,0.0004192111,0.003320956],"category_scores_gemma":[0.008875578,0.0001917064,0.0008038526,0.001059335,0.0006546514,0.000324907,0.0009217317,0.0005023379,0.0004256325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005021155,"about_ca_system_score_gemma":0.005053015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4021437,"about_ca_topic_score_gemma":0.524076,"domain_scores_codex":[0.9972813,0.001015066,0.0002044107,0.000322365,0.0009413131,0.000235578],"domain_scores_gemma":[0.9904999,0.001428994,0.0005239228,0.0004293656,0.006576973,0.0005408811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006566229,0.001002318,0.9090596,0.0002461098,0.0002554797,0.0002570394,0.007603057,0.0008000567,0.003322043,0.000692427,0.01253408,0.06357111],"study_design_scores_gemma":[0.00007914963,0.0002640239,0.9905328,0.00006082286,0.00003650358,0.00007875545,0.001402408,0.0009066224,0.0006196943,0.00006566886,0.005929984,0.00002358472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784923,0.0002490369,0.002833587,0.0002329307,0.00006654244,0.001596653,0.006571387,0.00006091155,0.009896676],"genre_scores_gemma":[0.9777714,0.0001724243,0.005823158,0.0003236882,0.00002279303,0.002901101,0.007869147,0.00004665519,0.005069539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4021437,"threshold_uncertainty_score":0.7996059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167819809245295,"score_gpt":0.501687551529579,"score_spread":0.3849055706050495,"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."}}