{"id":"W2036433269","doi":"10.1145/985692.985704","title":"A comparison of static, adaptive, and adaptable menus","year":2004,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Personalization; Computer science; Control (management); Human–computer interaction; Software; Interface (matter); User interface; World Wide Web; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003954254,0.0004795507,0.000597746,0.00155286,0.0002636314,0.001225298,0.0005905798,0.0005811027,0.003862288],"category_scores_gemma":[0.03716306,0.0003242664,0.0005035228,0.0007272714,0.0003777054,0.002471374,0.0007380515,0.0003644695,0.0005094726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066783,"about_ca_system_score_gemma":0.0002632473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569211,"about_ca_topic_score_gemma":0.0004374507,"domain_scores_codex":[0.9971975,0.001180113,0.0003131275,0.0002538959,0.0009204278,0.0001349159],"domain_scores_gemma":[0.9640901,0.02943162,0.001325514,0.00160253,0.002702946,0.000847413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02552463,0.001793913,0.07159492,0.003658863,0.0007453663,0.0008540004,0.006559064,0.003538815,0.143442,0.002763133,0.002360249,0.7371651],"study_design_scores_gemma":[0.002390159,0.03036634,0.8574206,0.0008888463,0.001774294,0.004536539,0.006787264,0.03486538,0.04015031,0.004706288,0.01562201,0.0004919431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818907,0.001278453,0.01267405,0.00005851115,0.00004391085,0.0002176156,0.0001242841,0.0003276569,0.003384816],"genre_scores_gemma":[0.9776019,0.0005835698,0.02003455,0.00006401688,0.00002860916,0.0001733182,0.0002677667,0.0001075161,0.001138832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003954254,"threshold_uncertainty_score":0.02091229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679607622993636,"score_gpt":0.315854657216914,"score_spread":0.2490585809869777,"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."}}