{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001164597,0.000074176,0.00008439425,0.00003631757,0.00005882597,0.0001010536,0.0005572125,0.00002947435,0.0002175004],"category_scores_gemma":[0.00004011649,0.00006184537,0.00007086663,0.0001077642,0.0000197518,0.0003091454,0.00006869879,0.00004213599,0.000294461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693415,"about_ca_system_score_gemma":0.000003320977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001009688,"about_ca_topic_score_gemma":0.00001053431,"domain_scores_codex":[0.9993337,0.00001758868,0.0001236501,0.0002449503,0.00008794619,0.0001921906],"domain_scores_gemma":[0.9994029,0.0001070797,0.0000194875,0.000377163,0.00004274644,0.00005066916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002399719,0.0008030428,0.002578609,0.0002338595,0.0001089148,0.00002283658,0.007677763,0.0001721547,0.003407644,0.3389991,0.4449359,0.2010362],"study_design_scores_gemma":[0.0006840442,0.0004731305,0.0005951424,0.0000278461,0.000008454039,0.00003618953,0.0001074438,0.9029768,0.0179236,0.01640421,0.06034705,0.0004160999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008543647,0.00003408685,0.9817026,0.003281505,0.0002639719,0.0001784324,8.388834e-7,0.0002079959,0.005786933],"genre_scores_gemma":[0.9323217,0.000002160439,0.062603,0.0008929804,0.0000266481,0.0000206265,2.953756e-7,0.000004889992,0.004127762],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.923778,"threshold_uncertainty_score":0.3784799,"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."}}