{"id":"W1983167057","doi":"10.1007/s00779-004-0317-4","title":"Ubiquitous service access through adapted user interfaces on multiple devices","year":2005,"lang":"en","type":"article","venue":"Personal and Ubiquitous Computing","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Computer science; Human–computer interaction; Mobile device; Service (business); User interface design; User interface; Ubiquitous computing; Presentation (obstetrics); Interactor; User experience design; World Wide Web; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000525262,0.0005573382,0.001023808,0.0004985877,0.0003677582,0.00158903,0.001246084,0.0008436152,0.005169158],"category_scores_gemma":[0.002134731,0.0003963484,0.0004516797,0.0006689008,0.0003934332,0.002104375,0.002438656,0.0007798701,0.001615836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002369091,"about_ca_system_score_gemma":0.0002469518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513624,"about_ca_topic_score_gemma":0.001985123,"domain_scores_codex":[0.9993217,0.0001503101,0.00004677253,0.000167503,0.0001934163,0.000120198],"domain_scores_gemma":[0.9993044,0.0001655354,0.00003957565,0.0002571346,0.0001453531,0.00008798834],"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":[0.001819602,0.0006623592,0.009944911,0.0003132112,0.0003182631,0.00267627,0.002394952,0.01988743,0.2535856,0.01761363,0.0105966,0.6801872],"study_design_scores_gemma":[0.0004255873,0.001788308,0.04212616,0.0002088457,0.0008250087,0.005032125,0.001857881,0.7222831,0.1109532,0.03883391,0.07522924,0.0004366827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3561826,0.0007540621,0.6154168,0.000389495,0.0003546349,0.0002277271,0.0001646609,0.006742307,0.01976762],"genre_scores_gemma":[0.9313024,0.0002878467,0.0586164,0.0002440714,0.0001097158,0.00009780015,0.0001464189,0.0001719375,0.009023414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005169158,"threshold_uncertainty_score":0.01729256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06873798741930875,"score_gpt":0.3002947528488162,"score_spread":0.2315567654295074,"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."}}