{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003308841,0.00007686861,0.00008212523,0.00004150904,0.0001116596,0.00008668216,0.0002948546,0.0000123923,0.0001591029],"category_scores_gemma":[0.00001153134,0.00005807828,0.00005055451,0.0001070838,0.00002426019,0.0006326172,0.00005725229,0.00006452821,0.0002583581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000225467,"about_ca_system_score_gemma":0.000007055402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004723712,"about_ca_topic_score_gemma":0.000001705773,"domain_scores_codex":[0.9994593,0.00001023088,0.00008160108,0.0002192712,0.00008225787,0.0001473174],"domain_scores_gemma":[0.9994169,0.000199785,0.00005361923,0.0001578632,0.0001388943,0.0000329652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000757254,0.001156262,0.0003475942,0.0000508469,0.0002216498,0.000003017786,0.002517329,0.0003090084,0.05472545,0.8556885,0.06637729,0.01852729],"study_design_scores_gemma":[0.001328674,0.0004679475,0.0002061927,0.00006191577,0.00002483874,0.00004215489,0.0008405027,0.7021332,0.1768389,0.002186572,0.115441,0.0004281081],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003983995,0.0000108609,0.9627989,0.0006785553,0.00008706428,0.0002333759,0.000002951137,0.00002577204,0.03217856],"genre_scores_gemma":[0.9779286,8.655927e-7,0.01697812,0.0002777819,0.00007308651,0.000178342,0.000003806126,0.000005499745,0.0045539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9739446,"threshold_uncertainty_score":0.3320757,"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."}}