{"id":"W2104927684","doi":"10.1109/ozchi.1996.559988","title":"Semantic telepointers for groupware","year":2002,"lang":"en","type":"article","venue":"","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Human–computer interaction; Workspace; Collaborative software; Focus (optics); Gesture; Viewport; Representation (politics); Object (grammar); Multimedia; Computer vision; World Wide Web; Artificial intelligence; Robot","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":[0.001229917,0.0008686367,0.0004897318,0.0008510128,0.001222442,0.003380641,0.001333611,0.002236517,0.03189939],"category_scores_gemma":[0.002627402,0.0005626107,0.0008922016,0.001320571,0.002352749,0.009592839,0.003188106,0.001705122,0.006592054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009946381,"about_ca_system_score_gemma":0.0007453955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008809105,"about_ca_topic_score_gemma":0.001516366,"domain_scores_codex":[0.9988991,0.000358334,0.0001188577,0.0001553474,0.0003840757,0.00008428636],"domain_scores_gemma":[0.9989166,0.0004185539,0.00005790367,0.0004084185,0.0001200995,0.00007835861],"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":[0.0001077439,0.00005063502,0.0001685984,0.0005014373,0.00001819391,0.0002283371,0.001479254,0.001931397,0.006326421,0.7657183,0.020905,0.2025647],"study_design_scores_gemma":[0.00005030457,0.00006891142,0.0002668029,0.0002361944,0.0000313755,0.0006068026,0.0004626412,0.0112365,0.005713061,0.4738493,0.5074412,0.00003693322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005647484,0.002944324,0.9409755,0.002037072,0.0004439303,0.0001671399,0.0002566922,0.006431758,0.04109605],"genre_scores_gemma":[0.1391248,0.003964138,0.8154855,0.000737544,0.0004421824,0.0005292248,0.0009236699,0.001583792,0.03720915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03189939,"threshold_uncertainty_score":0.1067141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05196017736498068,"score_gpt":0.2395398986509189,"score_spread":0.1875797212859382,"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."}}