{"id":"W3145552306","doi":"10.1109/vr.2005.1492757","title":"The hedgehog: a novel optical tracking method for spatially immersive displays","year":2005,"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; Computer vision; Artificial intelligence; Tracking (education); Centroid; Laser; Projection (relational algebra); Pose; Tracking system; Calibration; Kalman filter; Optics; Physics","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":[0.0003330082,0.0004282041,0.0004534889,0.0006254578,0.0003326265,0.0006058228,0.00110108,0.0005141218,0.002153755],"category_scores_gemma":[0.0007283807,0.0003841855,0.0003118234,0.0004964056,0.0003171687,0.0008775314,0.0009989967,0.0004176861,0.0007436345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002682743,"about_ca_system_score_gemma":0.0004760419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731735,"about_ca_topic_score_gemma":0.003109253,"domain_scores_codex":[0.9996922,0.00003785598,0.00001097898,0.00006155624,0.0001789074,0.00001860411],"domain_scores_gemma":[0.999737,0.00005645233,0.00003382309,0.00007734899,0.00007375288,0.00002161303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001609835,0.00005034628,0.0006113641,0.0001271162,0.00005463745,0.0001243797,0.0002575939,0.01042109,0.1197641,0.005147724,0.00569271,0.8575881],"study_design_scores_gemma":[0.00008229433,0.0003988207,0.003590922,0.0000651864,0.00008775738,0.001696622,0.0001153987,0.7713487,0.1494928,0.004784343,0.06818301,0.0001541546],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007888988,0.0002325818,0.9887396,0.00004095806,0.00005973286,0.00004283874,0.00003964498,0.001635722,0.00132004],"genre_scores_gemma":[0.1010089,0.0003538775,0.8939195,0.00008012399,0.0000532675,0.00008706224,0.000108922,0.0002109187,0.004177297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002153755,"threshold_uncertainty_score":0.007205009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988425296168165,"score_gpt":0.3416159784998047,"score_spread":0.3017317255381231,"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."}}