{"id":"W4248869497","doi":"10.1145/882262.882329","title":"Boom chameleon","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Boom; Armature (electrical engineering); Computer science; Gesture; Computer graphics (images); Exploit; Microphone; Window (computing); Annotation; Virtual space; Computer vision; Human–computer interaction; Artificial intelligence; Engineering; Operating system; Telecommunications; Mechanical engineering","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":[0.001168116,0.00110067,0.000480129,0.003366918,0.001359763,0.002422229,0.00151939,0.001732398,0.05401696],"category_scores_gemma":[0.004572132,0.0004621152,0.0005136837,0.003158372,0.0009548427,0.005023299,0.001799559,0.001285801,0.02336393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059902,"about_ca_system_score_gemma":0.0009971956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004090249,"about_ca_topic_score_gemma":0.007856402,"domain_scores_codex":[0.9985636,0.0002430823,0.00007020901,0.0002375251,0.0007826621,0.0001029525],"domain_scores_gemma":[0.9976355,0.0005703659,0.0001293998,0.0003725554,0.001040514,0.000251717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001499641,0.00002925506,0.0004733267,0.001063898,0.00001530286,0.0002073018,0.0005896286,0.0007615067,0.006296577,0.02931752,0.2124545,0.7486411],"study_design_scores_gemma":[0.000003381528,0.00002557852,0.0002540646,0.0001400817,0.000004721399,0.0003335516,0.00004991599,0.0002851087,0.001207097,0.001587356,0.9960896,0.00001957139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01404008,0.1265575,0.4182097,0.0109222,0.01696654,0.000618624,0.001839345,0.01299584,0.3978502],"genre_scores_gemma":[0.08494795,0.07927566,0.2744097,0.005765998,0.005982137,0.0006513829,0.004039824,0.007572114,0.5373552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05401696,"threshold_uncertainty_score":0.1807047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01887235123259743,"score_gpt":0.254185343982323,"score_spread":0.2353129927497255,"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."}}