{"id":"W2553307952","doi":"10.1145/2980179.2980238","title":"A scalable active framework for region annotation in 3D shape collections","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":1289,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Information and Intelligent Systems; Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Conditional random field; Scalability; Annotation; Set (abstract data type); Salient; Artificial intelligence; Point (geometry); Feature (linguistics); Field (mathematics); Function (biology); Data mining; Machine learning; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435895049661953,"score_gpt":0.2500209377842925,"score_spread":0.2256619872876729,"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."}}