{"id":"W4234354157","doi":"10.1145/571998.572001","title":"Boom chameleon","year":2002,"lang":"en","type":"article","venue":"","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Boom; Window (computing); Gesture; Computer science; Annotation; Exploit; Microphone; 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":[0.0006919598,0.001057791,0.0004764448,0.001280708,0.001041044,0.001882194,0.001243789,0.001400636,0.05515779],"category_scores_gemma":[0.001864288,0.0005145361,0.000493001,0.00083627,0.0006170004,0.002269407,0.002652112,0.0009965707,0.01443195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008698,"about_ca_system_score_gemma":0.0007175222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292181,"about_ca_topic_score_gemma":0.006515816,"domain_scores_codex":[0.999217,0.000119189,0.00002460623,0.0001478699,0.000409514,0.00008174751],"domain_scores_gemma":[0.9992055,0.0001670384,0.00004490167,0.0002244335,0.0002369414,0.0001211636],"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":[0.0007392287,0.00008011451,0.0018897,0.0008472051,0.00003641987,0.0007169797,0.001712617,0.002668747,0.07852706,0.05637551,0.1145001,0.7419063],"study_design_scores_gemma":[0.00002031215,0.0001196686,0.001342587,0.00009384668,0.00001505978,0.000846516,0.0001162307,0.00583811,0.01581573,0.00424361,0.9714797,0.00006855364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01751879,0.002355254,0.7692493,0.001541462,0.001463201,0.0004594166,0.001736279,0.02531992,0.1803563],"genre_scores_gemma":[0.1481991,0.00200544,0.5846745,0.001105772,0.0004756355,0.0006822494,0.003064766,0.004496978,0.2552957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05515779,"threshold_uncertainty_score":0.1845212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438587833514936,"score_gpt":0.1719421798777229,"score_spread":0.1375563015425735,"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."}}