{"id":"W2167516148","doi":"10.1145/571985.571991","title":"Customizable physical interfaces for interacting with conventional applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Microsoft Research","keywords":"Graphical user interface; Computer science; Personalization; Human–computer interaction; User interface; Control (management); Interface (matter); Function (biology); Programming language; World Wide Web; Operating system; Artificial intelligence","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":[0.001620801,0.001036979,0.0004124242,0.0007209466,0.0004240648,0.002067799,0.003568622,0.001297354,0.02117005],"category_scores_gemma":[0.0069116,0.0008077826,0.0006476219,0.0005113605,0.001030352,0.004045025,0.003043503,0.002117202,0.003880502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003366725,"about_ca_system_score_gemma":0.0003029153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000424322,"about_ca_topic_score_gemma":0.0008916096,"domain_scores_codex":[0.9987934,0.0002950182,0.0001056875,0.0001696514,0.0005307762,0.0001054086],"domain_scores_gemma":[0.9974205,0.0007793072,0.0001451612,0.001219968,0.0003055021,0.0001295123],"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":[0.0003713395,0.0004538519,0.001878984,0.001331395,0.00009806235,0.001388617,0.003539019,0.008084696,0.2557902,0.2156495,0.03639552,0.4750188],"study_design_scores_gemma":[0.0002453377,0.0008264016,0.005838034,0.0006461582,0.0001946349,0.004769306,0.0008062778,0.08502099,0.0924806,0.0663939,0.742447,0.0003313903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01285294,0.0003511512,0.9541619,0.0004928898,0.0002235428,0.0003488515,0.00008808461,0.01245043,0.01903016],"genre_scores_gemma":[0.1308542,0.0006806802,0.8437011,0.0007270715,0.0001172463,0.0008983035,0.0002105875,0.002154492,0.0206562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02117005,"threshold_uncertainty_score":0.07082087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955190718555249,"score_gpt":0.2651220408288025,"score_spread":0.24557013364325,"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."}}