{"id":"W2135718368","doi":"10.1109/tabletop.2006.26","title":"Rotation and Translation Mechanisms for Tabletop Interaction","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"","keywords":"Computer science; Human–computer interaction; Translation (biology); Perspective (graphical); Rotation (mathematics); Completeness (order theory); 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":[0.0000567752,0.000047309,0.00004231667,0.00004916152,0.00006234095,0.00006798008,0.00005593259,0.00001983109,0.00001275261],"category_scores_gemma":[0.000004340267,0.00004315923,0.00002284316,0.00005563512,0.00000406554,0.0008302231,0.000007947591,0.00002325836,0.000008408522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000139356,"about_ca_system_score_gemma":0.000005478147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006796369,"about_ca_topic_score_gemma":0.00002109673,"domain_scores_codex":[0.999645,0.0000101332,0.00008028506,0.0001366893,0.00004944642,0.00007846179],"domain_scores_gemma":[0.9997781,0.00005566613,0.00003188206,0.00005879803,0.0000645066,0.00001105354],"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":[0.00001581165,0.00002294846,0.00002109343,0.000006496459,0.000004775942,2.555654e-7,0.0001564285,0.00005757804,0.3620766,0.622602,0.0009080713,0.01412786],"study_design_scores_gemma":[0.0006927522,0.000193361,0.003537376,0.00001249907,0.00001004824,0.00001130005,0.0002250238,0.325583,0.5634124,0.09987262,0.006263519,0.0001861176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005287821,0.00001140864,0.9871807,0.0006683132,0.0001911122,0.0001522105,0.000001161052,0.00001524054,0.006492026],"genre_scores_gemma":[0.9338369,0.000001344821,0.06536966,0.0002240942,0.00003175773,0.00002280044,0.00001479628,0.000003017004,0.0004956459],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9285491,"threshold_uncertainty_score":0.1759982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153776659640365,"score_gpt":0.2574070339995453,"score_spread":0.2420293680355088,"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."}}