{"id":"W2125565659","doi":"10.1145/769953.769974","title":"A vision-based head tracking system for fully immersive displays","year":2003,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Tracking (education); Computer vision; Tracking system; Computer graphics (images); Set (abstract data type); Projection (relational algebra); Software; Eye tracking; 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":[0.0002831182,0.00009249662,0.0001152336,0.0000564576,0.0001746821,0.0001681732,0.0003292907,0.0000406912,0.00000910273],"category_scores_gemma":[0.00007480206,0.00007516817,0.00007584201,0.0002665341,0.00001662025,0.000263473,0.00001969073,0.00004041474,0.0000431225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007182059,"about_ca_system_score_gemma":0.000116879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004413869,"about_ca_topic_score_gemma":0.00001573496,"domain_scores_codex":[0.9991483,0.00003336616,0.0001689351,0.0002654384,0.0001445377,0.0002394008],"domain_scores_gemma":[0.9990796,0.0002061893,0.0000575956,0.0004295965,0.000104083,0.0001229346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006027959,0.00008509164,0.00003403839,0.0000467396,0.000008277575,0.000001261113,0.0001591806,0.0003969597,0.004115864,0.9771156,0.001309842,0.01672114],"study_design_scores_gemma":[0.003132027,0.001185274,0.00356246,0.0002464301,0.00003320591,0.00004846677,0.001152577,0.7742487,0.1275308,0.005004388,0.0829133,0.0009423484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003568265,0.00002294506,0.9839528,0.0009267366,0.0000971395,0.0003558986,0.000006781278,0.00007685194,0.01099256],"genre_scores_gemma":[0.9664176,5.492149e-7,0.03290758,0.0004346665,0.00001467218,0.00006049116,0.000003098299,0.000006072315,0.0001553148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9721112,"threshold_uncertainty_score":0.3065269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980284101483372,"score_gpt":0.3093825654287887,"score_spread":0.279579724413955,"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."}}