{"id":"W2030072062","doi":"10.1145/1753846.1754154","title":"Cobra","year":2010,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cobra; Computer science; Mobile device; Computer graphics (images); Human–computer interaction; Interface (matter); Projector; Operating system; Computer vision","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":[0.0007296511,0.0009963921,0.0004959693,0.0009482038,0.001374319,0.003567262,0.001742944,0.002072855,0.05599439],"category_scores_gemma":[0.0027529,0.0004376718,0.0004949829,0.0009972858,0.0007728537,0.003825857,0.002353125,0.001852759,0.02921428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005540914,"about_ca_system_score_gemma":0.0006193329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001740828,"about_ca_topic_score_gemma":0.003194101,"domain_scores_codex":[0.998593,0.0001747568,0.00004312798,0.00028923,0.0006189291,0.0002810029],"domain_scores_gemma":[0.998957,0.000208596,0.00006619182,0.0002132124,0.0003509902,0.0002039532],"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":[0.0004896238,0.0003049223,0.001891437,0.001027298,0.00004772821,0.0009612238,0.001198427,0.004865595,0.04018735,0.2179992,0.1802356,0.5507916],"study_design_scores_gemma":[0.00000768565,0.00008903542,0.0003619833,0.00007934395,0.000008502258,0.0009451123,0.00008531739,0.002734448,0.007300148,0.005184436,0.9831734,0.00003063735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0130153,0.01233083,0.5809664,0.003790243,0.002830652,0.0003586714,0.0006242647,0.01332624,0.3727574],"genre_scores_gemma":[0.1584345,0.01225596,0.2444521,0.004782555,0.00104601,0.0004484114,0.001689815,0.005607763,0.5712829],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05599439,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004100992943374463,"score_gpt":0.2301216243001277,"score_spread":0.2260206313567533,"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."}}