{"id":"W3091982815","doi":"10.2196/19245","title":"European Portuguese Version of the User Satisfaction Evaluation Questionnaire (USEQ): Transcultural Adaptation and Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia","keywords":"Confirmatory factor analysis; Cronbach's alpha; Psychology; Construct validity; Applied psychology; Usability; Exploratory factor analysis; Discriminant validity; Reliability (semiconductor); European Portuguese; Clinical psychology; Psychometrics; Portuguese; Structural equation modeling; Statistics; Computer science; Internal consistency; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273308,0.00008690518,0.0001222738,0.00004602496,0.0005512645,0.0000185068,0.0000785325,0.0000699074,0.000009982028],"category_scores_gemma":[0.0002092256,0.00006830451,0.00002075883,0.0002971844,0.0001320306,0.0002865926,0.00002074946,0.0001648583,0.000003017894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009198227,"about_ca_system_score_gemma":0.0002209778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00295781,"about_ca_topic_score_gemma":0.005394902,"domain_scores_codex":[0.9977715,0.001089866,0.0002785117,0.0002419116,0.000449616,0.0001685777],"domain_scores_gemma":[0.9993238,0.00002803192,0.0002301236,0.0001061166,0.0001549901,0.0001568798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001372085,0.0001103797,0.5114153,0.0002556698,0.00001381645,7.199509e-7,0.2117596,0.00004198039,0.0001353284,0.00105236,0.0004553603,0.2746223],"study_design_scores_gemma":[0.00085654,0.0002449579,0.9811862,0.00003653526,0.00005909215,9.557923e-7,0.01681531,0.0004327277,0.00001620628,0.00009815817,0.000190885,0.00006240827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859084,0.0002563037,0.00009913665,0.01196732,0.0001616521,0.001351358,0.000005733034,0.00009069421,0.0001593397],"genre_scores_gemma":[0.9992413,0.0003320242,0.0000650639,0.0002290795,0.00008201072,0.00002038588,0.000008302262,0.000007972171,0.00001388466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4697709,"threshold_uncertainty_score":0.4471344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07763014646408047,"score_gpt":0.3706404205833788,"score_spread":0.2930102741192983,"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."}}