{"id":"W2032660017","doi":"10.1145/1520340.1520515","title":"DisplayObjects","year":2009,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Workbench; Computer graphics (images); Motion capture; Software; Object (grammar); 3d model; Rapid prototyping; Software prototyping; Human–computer interaction; Visualization; Computer vision; Artificial intelligence; Motion (physics); Software development; 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":[0.0006787408,0.00126948,0.0005968015,0.001202198,0.0007732644,0.002634093,0.001941489,0.001102857,0.1296116],"category_scores_gemma":[0.002102931,0.0008703849,0.0008090112,0.0008070209,0.0003905564,0.002905092,0.002865869,0.001167024,0.04264564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503744,"about_ca_system_score_gemma":0.0006784872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210551,"about_ca_topic_score_gemma":0.002172545,"domain_scores_codex":[0.9992313,0.00005646862,0.00004099749,0.00008040649,0.0004813002,0.0001095143],"domain_scores_gemma":[0.9992256,0.0001824631,0.00004704978,0.0001875133,0.0002131874,0.0001440844],"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":[0.000733989,0.0001849133,0.001430058,0.0009967589,0.00005345511,0.0007250097,0.0009345361,0.001719167,0.04756413,0.04470082,0.4412057,0.4597514],"study_design_scores_gemma":[0.00003509367,0.00004834279,0.0005039844,0.00006070934,0.00001243426,0.0003436081,0.0000530029,0.002021566,0.01177651,0.001854195,0.9832575,0.00003307128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01535845,0.004080286,0.4440149,0.0009799229,0.001860157,0.0008065409,0.01107554,0.2344156,0.2874086],"genre_scores_gemma":[0.1048737,0.006245108,0.2550393,0.001714534,0.0007311563,0.00116179,0.04148531,0.07443727,0.5143119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1296116,"threshold_uncertainty_score":0.4335939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005652775444668587,"score_gpt":0.2394072000093248,"score_spread":0.2337544245646562,"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."}}