{"id":"W7147468856","doi":"10.1145/3769872.3769883","title":"Investigating Aggregated vs. Sequential Command Recommendation in Graphical User Interfaces","year":2025,"lang":"","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Set (abstract data type); Task (project management); Graphical user interface; Interface (matter); User interface; Recommender system","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":[0.01135438,0.000819342,0.001013512,0.001037983,0.0005782937,0.002478238,0.001391506,0.001204356,0.002035696],"category_scores_gemma":[0.08028772,0.0006527138,0.0006774398,0.0008525532,0.0008946174,0.004225089,0.001317986,0.001246054,0.000315633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000935532,"about_ca_system_score_gemma":0.001029243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008813749,"about_ca_topic_score_gemma":0.01133783,"domain_scores_codex":[0.9894698,0.006159664,0.0007055438,0.00136431,0.001864225,0.0004363919],"domain_scores_gemma":[0.8355504,0.1412568,0.00673403,0.00788065,0.007317537,0.001260704],"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":[0.00940918,0.003954143,0.1157545,0.002181413,0.001606124,0.000450668,0.007342192,0.2276486,0.05553209,0.007124571,0.001536858,0.5674598],"study_design_scores_gemma":[0.0005471444,0.008455728,0.0659927,0.0001412698,0.0006573744,0.0003355227,0.001900874,0.8879779,0.02305556,0.008767721,0.001977827,0.000190525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.890752,0.0004503294,0.1055263,0.0001635373,0.00002491232,0.000355255,0.00008581435,0.0005664747,0.002075376],"genre_scores_gemma":[0.9492096,0.0001430401,0.04982736,0.0000510362,0.00001630097,0.0001437503,0.00009438233,0.00003963329,0.0004747786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01135438,"threshold_uncertainty_score":0.0600484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990955984060565,"score_gpt":0.3033412136228483,"score_spread":0.2734316537822426,"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."}}