{"id":"W2114535869","doi":"10.1109/icpca.2007.4365405","title":"Evaluating BluScreen: Usability for Intelligent Pervasive Displays","year":2007,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Usability; Computer science; Human–computer interaction; Bluetooth; Ubiquitous computing; Mobile device; World Wide Web; Multimedia; Wireless; Telecommunications","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":[0.001286993,0.0001421477,0.0001449081,0.00007110363,0.0001777131,0.00007469919,0.0006046047,0.00004762886,0.0001108889],"category_scores_gemma":[0.0004307789,0.0001179668,0.0001739973,0.0001834427,0.00004268328,0.0005105821,0.0002007136,0.0001035611,0.0001090663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100043,"about_ca_system_score_gemma":0.00005301991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005381294,"about_ca_topic_score_gemma":0.00004878683,"domain_scores_codex":[0.9985567,0.00003873919,0.0002960492,0.0004461613,0.0002476398,0.0004147382],"domain_scores_gemma":[0.9981862,0.0007709339,0.00008568147,0.0004355803,0.0004182762,0.0001033325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003388925,0.0006214566,0.01015192,0.00009359362,0.000168702,0.00001573414,0.006662552,0.0002336432,0.1889258,0.6246915,0.005923295,0.1621729],"study_design_scores_gemma":[0.001041799,0.001698906,0.06790695,0.00005517425,0.00003768894,0.00002986396,0.003816806,0.1510381,0.7544047,0.01058673,0.008561932,0.0008213861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06366561,0.00002375506,0.9219261,0.000425858,0.0004015125,0.0004116977,0.000003768571,0.00002492872,0.0131167],"genre_scores_gemma":[0.9224112,0.00000180932,0.07529096,0.001190156,0.0001120113,0.00002509498,0.000006612237,0.000008209111,0.0009539414],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8587456,"threshold_uncertainty_score":0.4810545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08700657802575891,"score_gpt":0.4037970900034006,"score_spread":0.3167905119776417,"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."}}