{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001627681,0.0008873246,0.0005000467,0.0009268991,0.0008885136,0.002789559,0.002405192,0.001651191,0.0611544],"category_scores_gemma":[0.005417886,0.0005493006,0.0009393292,0.0008366581,0.001197429,0.004436117,0.004168942,0.001615665,0.0132518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497426,"about_ca_system_score_gemma":0.0009386878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032154,"about_ca_topic_score_gemma":0.001383366,"domain_scores_codex":[0.9980065,0.0004380905,0.000114164,0.0003597522,0.00093376,0.0001476616],"domain_scores_gemma":[0.9974859,0.0008961418,0.0001283926,0.0009150354,0.0004252865,0.0001491967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005400651,0.0001532063,0.0007153373,0.0008596656,0.00005931075,0.0005279786,0.002145709,0.001653787,0.02434238,0.2244867,0.1016363,0.6428797],"study_design_scores_gemma":[0.0001220083,0.000212658,0.0007574508,0.0002260471,0.00005872322,0.001792054,0.0004616605,0.01114289,0.02332222,0.03604985,0.925761,0.00009348492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003597856,0.0006248805,0.9300049,0.0005338679,0.0004263774,0.0003359944,0.0005973334,0.007900777,0.05597796],"genre_scores_gemma":[0.1075615,0.001993742,0.7567148,0.001066994,0.0002675925,0.000964154,0.002244661,0.003041786,0.1261448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0611544,"threshold_uncertainty_score":0.2045819,"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."}}