{"id":"W2126342463","doi":"10.1109/3dui.2008.4476590","title":"Assessing the Effects of Orientation and Device on (Constrained) 3D Movement Techniques","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Movement (music); Orientation (vector space); Computer science; Consistency (knowledge bases); Object (grammar); Computer vision; Artificial intelligence; Tracking (education); Human–computer interaction; Simulation; Mathematics; Psychology; Geometry","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":[0.002867336,0.001454386,0.0006817683,0.0007190124,0.0003239157,0.001165523,0.000585929,0.0007397739,0.00214032],"category_scores_gemma":[0.04342924,0.0005739667,0.00080107,0.0007157722,0.0006051066,0.0007726136,0.0009398731,0.0005085978,0.0003719607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363401,"about_ca_system_score_gemma":0.0003403289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009406946,"about_ca_topic_score_gemma":0.001515415,"domain_scores_codex":[0.9948481,0.002169923,0.0007976462,0.0006420419,0.001205693,0.0003365985],"domain_scores_gemma":[0.8937672,0.09099369,0.007159836,0.003173159,0.003930196,0.0009758795],"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":[0.02117214,0.004054006,0.1012384,0.003217533,0.0006028196,0.0007222017,0.003020365,0.007215632,0.682532,0.000207713,0.0004071845,0.17561],"study_design_scores_gemma":[0.0005010761,0.04883627,0.7709377,0.0001909516,0.001142561,0.0009284125,0.001086393,0.006397283,0.1669568,0.000264579,0.002560929,0.0001969915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889889,0.0005133883,0.00871598,0.00003224062,0.00003967094,0.0002806385,0.000182534,0.00006499054,0.001181703],"genre_scores_gemma":[0.9782465,0.0005432144,0.01912657,0.00008987256,0.00006622441,0.0004388512,0.0003178438,0.0001415332,0.001029407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002867336,"threshold_uncertainty_score":0.01516414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671905743059343,"score_gpt":0.3034309126194,"score_spread":0.2867118551888065,"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."}}