{"id":"W1970490657","doi":"10.1080/13614560410001728137","title":"Usable adaptive hypermedia systems","year":2004,"lang":"en","type":"article","venue":"New Review of Hypermedia and Multimedia","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"USable; Computer science; Adaptive hypermedia; Hypermedia; World Wide Web; Multimedia; Software engineering; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005314527,0.0002704486,0.000683455,0.00009031802,0.00006199974,0.00004970543,0.0007633605,0.0001159189,0.00003852298],"category_scores_gemma":[0.0004348075,0.000217956,0.000130118,0.0003509164,0.0002023302,0.000533539,0.0001885272,0.0002192255,0.0001475847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005453933,"about_ca_system_score_gemma":0.000384956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002557368,"about_ca_topic_score_gemma":0.0000129694,"domain_scores_codex":[0.9979194,0.0001063242,0.0005945979,0.0005259358,0.0004652481,0.000388517],"domain_scores_gemma":[0.9982218,0.0003015296,0.0002027375,0.000695309,0.0001861319,0.0003925034],"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":[0.0001270035,0.001493017,0.003407039,0.02647847,0.0005447641,0.0002578229,0.01389497,0.0003362687,0.01666025,0.06289543,0.06244871,0.8114563],"study_design_scores_gemma":[0.02445612,0.006253168,0.02462756,0.1119522,0.001371687,0.002008167,0.001382144,0.05742786,0.04641616,0.02006971,0.6967008,0.007334499],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05849132,0.7571045,0.1553579,0.008844946,0.007839232,0.004789984,0.00007729911,0.0006775269,0.006817345],"genre_scores_gemma":[0.5007363,0.2209465,0.2706717,0.004764867,0.001185468,0.0002383185,0.00004232747,0.00009540711,0.001319157],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8041217,"threshold_uncertainty_score":0.8887987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591546968435257,"score_gpt":0.2549713416375848,"score_spread":0.2290558719532322,"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."}}