{"id":"W2009357400","doi":"10.1145/571985.572001","title":"Boom chameleon","year":2002,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Boom; Window (computing); Gesture; Computer science; Annotation; Microphone; Exploit; Software; Computer graphics (images); Human–computer interaction; Computer vision; Artificial intelligence; Engineering; Operating system; Telecommunications; Computer security","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":[0.0006332971,0.0009835492,0.0004296749,0.001089005,0.0009433276,0.001890506,0.001126708,0.001392984,0.05113114],"category_scores_gemma":[0.001904386,0.0004787388,0.0004917807,0.0007007151,0.000561661,0.002044579,0.002297559,0.001040169,0.01143311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004711789,"about_ca_system_score_gemma":0.0005683805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143608,"about_ca_topic_score_gemma":0.004201498,"domain_scores_codex":[0.9992934,0.0001246944,0.00002150978,0.0001229724,0.0003617259,0.00007549452],"domain_scores_gemma":[0.9992298,0.0001763046,0.00004405367,0.0002199097,0.0002130832,0.0001167705],"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":[0.0006304762,0.00008705946,0.001295352,0.0008789466,0.00003565639,0.0006403425,0.001758181,0.002510023,0.0910138,0.072106,0.113406,0.7156381],"study_design_scores_gemma":[0.00002228908,0.0001401972,0.001182218,0.00009457123,0.00001643383,0.0009438482,0.0001080891,0.005326907,0.01780545,0.004950731,0.9693405,0.00006881916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01811852,0.003396147,0.7886196,0.00184992,0.001700749,0.0004284827,0.001297696,0.01881068,0.1657781],"genre_scores_gemma":[0.1568232,0.002694722,0.5930685,0.001234496,0.0005806329,0.0007064815,0.002168695,0.003571042,0.2391522],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05113114,"threshold_uncertainty_score":0.1710507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857207915962706,"score_gpt":0.2102066618274836,"score_spread":0.1916345826678565,"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."}}