{"id":"W6978333979","doi":"10.7910/dvn/0ef5ki","title":"Validation of the blended learning usability evaluation – questionnaire (BLUE-Q) through an innovative Bayesian questionnaire validation approach","year":2024,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Usability; Likert scale; Blended learning; Technology acceptance model; Cronbach's alpha; Domain (mathematical analysis); Qualitative property; Multiple choice; Digital health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.1228624,0.0008671127,0.0007156221,0.003420538,0.0009776857,0.002262879,0.001661085,0.0009265583,0.008996323],"category_scores_gemma":[0.2347719,0.0005096323,0.001077079,0.00298837,0.0009946058,0.001690615,0.002790201,0.001433164,0.003880419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817951,"about_ca_system_score_gemma":0.006694874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227627,"about_ca_topic_score_gemma":0.005488005,"domain_scores_codex":[0.9286374,0.04267259,0.009600782,0.003656031,0.01416779,0.001265434],"domain_scores_gemma":[0.7685747,0.1368172,0.007196886,0.01739912,0.0687776,0.001234516],"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":[0.001911321,0.003358155,0.1382872,0.007451661,0.0003539532,0.0003860645,0.02684557,0.006446152,0.009529352,0.0160397,0.2105677,0.5788232],"study_design_scores_gemma":[0.001891173,0.002991775,0.326751,0.006777558,0.0003028331,0.0002956425,0.01288902,0.01889208,0.01366418,0.01020889,0.6049314,0.0004044107],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.3578271,0.0008417683,0.3330885,0.00318368,0.0007414363,0.1343337,0.1299032,0.002980778,0.03709983],"genre_scores_gemma":[0.2332416,0.0004024637,0.2244382,0.001115423,0.0001146759,0.4416568,0.09147379,0.0009113598,0.006645742],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1228624,"threshold_uncertainty_score":0.6497662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325291611063155,"score_gpt":0.3113225711216912,"score_spread":0.2780696550110596,"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."}}