{"id":"W2058886256","doi":"10.1145/1342250.1342253","title":"ViewCube","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Orientation (vector space); Enhanced Data Rates for GSM Evolution; Process (computing); Window (computing); Face (sociological concept); Controller (irrigation); Computer vision; Computer graphics (images); Human–computer interaction; Artificial intelligence","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":[0.0005584786,0.001015138,0.0005474229,0.0004505732,0.0002517437,0.001271666,0.001263974,0.000691888,0.08929385],"category_scores_gemma":[0.002793072,0.0005682449,0.0006110193,0.0004219955,0.0001963118,0.001876447,0.002409858,0.0006413592,0.01812761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064172,"about_ca_system_score_gemma":0.0004006449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009331786,"about_ca_topic_score_gemma":0.00148182,"domain_scores_codex":[0.9994524,0.00009302407,0.00002713001,0.0001269063,0.0002255709,0.00007499199],"domain_scores_gemma":[0.9985294,0.000449677,0.00007519904,0.0005574907,0.0002546883,0.0001334468],"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":[0.003581039,0.0004523966,0.005015185,0.0009484535,0.0001173366,0.0005729245,0.001037478,0.002392562,0.07566561,0.01869707,0.2372986,0.6542215],"study_design_scores_gemma":[0.0003598482,0.001418634,0.008717056,0.0002108683,0.0001257605,0.001858552,0.0004038635,0.02057731,0.05555725,0.006550837,0.9040785,0.0001415272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.1506416,0.002916391,0.4871291,0.001099664,0.001696159,0.001783222,0.01876013,0.09837776,0.237596],"genre_scores_gemma":[0.4919674,0.002169752,0.2831931,0.001818527,0.0002667884,0.001980366,0.03763211,0.009236131,0.171736],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08929385,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345538275877865,"score_gpt":0.2361314923261217,"score_spread":0.2126761095673431,"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."}}