{"id":"W2027820023","doi":"10.1145/1054972.1055013","title":"Comparing cursor orientations for mouse, pointer, and pen interaction","year":2005,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pointer (user interface); Cursor (databases); Computer science; Interaction technique; Touchpad; Pointing device; 3D interaction; Human–computer interaction; Computer graphics (images); Input device; Computer vision; Gesture; Virtual reality; Computer hardware","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001292479,0.0007834171,0.0004382526,0.0004170632,0.0001628963,0.0005583501,0.0002849805,0.0004127822,0.001589324],"category_scores_gemma":[0.01179716,0.0002308446,0.0002082545,0.0003003322,0.0001939803,0.0006274469,0.0004640341,0.0002765747,0.0004500455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000150672,"about_ca_system_score_gemma":0.0003032364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008687754,"about_ca_topic_score_gemma":0.001579221,"domain_scores_codex":[0.998934,0.0003961643,0.0001466643,0.0001365399,0.0002568508,0.0001297787],"domain_scores_gemma":[0.9927106,0.00507157,0.0003464199,0.0003256462,0.001069254,0.000476561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01556128,0.0009754691,0.02963594,0.001363078,0.0001301442,0.000305697,0.001980627,0.003056891,0.773449,0.0005830462,0.0009596827,0.1719992],"study_design_scores_gemma":[0.001911114,0.03003043,0.4304868,0.0003483577,0.001077002,0.001613483,0.002173105,0.02812579,0.4930056,0.001294809,0.009506655,0.0004269206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986956,0.0003747893,0.01022806,0.00003005186,0.00003719619,0.0001190021,0.0001652187,0.0003665199,0.001723192],"genre_scores_gemma":[0.9767393,0.0004898052,0.02079406,0.00006224669,0.00001965378,0.0001821657,0.000478801,0.0001773996,0.001056604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001589324,"threshold_uncertainty_score":0.006835401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618526370926625,"score_gpt":0.3154017437245039,"score_spread":0.2792164800152376,"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."}}