{"id":"W2151519265","doi":"10.1145/1517664.1517728","title":"The EventTable technique","year":2009,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Tracking (education); Object (grammar); Video tracking; Computer vision; Event (particle physics); Artificial intelligence; Fiducial marker; Variety (cybernetics); Human–computer interaction; Tracking system; Kalman filter","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":[0.00009446082,0.00003511738,0.00002655023,0.00001310787,0.0001550477,0.00006876617,0.0004383507,0.00001135706,0.00001612755],"category_scores_gemma":[0.00001146683,0.00001979544,0.00002749898,0.000092375,0.00000846449,0.0002530132,0.00003509763,0.00004783468,0.0001254166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001094656,"about_ca_system_score_gemma":0.0000119364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005001699,"about_ca_topic_score_gemma":8.036125e-7,"domain_scores_codex":[0.9996697,0.00001407827,0.00004816459,0.00008552699,0.00006278144,0.0001197463],"domain_scores_gemma":[0.9996766,0.00003230158,0.00001454791,0.0002195665,0.00004032426,0.00001666983],"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":[0.000002102707,0.00002145277,0.0000185724,2.004882e-7,0.000003064453,0.000002450107,0.00005630814,0.000001058765,0.09798896,0.8552073,0.03468492,0.01201365],"study_design_scores_gemma":[0.0000839477,0.0001685922,0.006849839,0.000006264452,0.000001183407,0.00002254607,0.00005757894,0.001678487,0.7690203,0.04659226,0.1753946,0.0001244224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000184724,0.00002647932,0.7995543,0.003629888,0.00008770434,0.00006943805,6.234568e-8,0.00001837052,0.1964291],"genre_scores_gemma":[0.9837268,0.00000783831,0.00575599,0.002622788,0.00002019186,0.000008474781,1.874267e-7,0.000001141463,0.007856604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9835421,"threshold_uncertainty_score":0.1612018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005631021690076774,"score_gpt":0.2484869809801181,"score_spread":0.2428559592900414,"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."}}