{"id":"W4312899461","doi":"10.1109/cvpr52688.2022.01806","title":"UNIST: Unpaired Neural Implicit Shape Translation Network","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Translation (biology); Generality; Artificial intelligence; Representation (politics); Artificial neural network; Machine translation; Code (set theory); Domain (mathematical analysis); Natural language processing; Position (finance); Grid; Point (geometry); Pattern recognition (psychology); Geometry; Programming language; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002333302,0.001058689,0.0006385357,0.000357732,0.0003146182,0.0007602014,0.002433148,0.001091081,0.007128066],"category_scores_gemma":[0.0009400396,0.000436961,0.000736124,0.000640719,0.0006598183,0.001666536,0.001532518,0.001590299,0.002959893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006000272,"about_ca_system_score_gemma":0.0007200989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004029993,"about_ca_topic_score_gemma":0.007729618,"domain_scores_codex":[0.9998714,0.00001149427,0.000005095296,0.00004625736,0.00004435687,0.00002135514],"domain_scores_gemma":[0.9998639,0.00002510417,0.00001399699,0.00005581865,0.00002437099,0.00001692682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003836906,0.0001583426,0.001130851,0.0002060397,0.000128601,0.0002793263,0.00008958402,0.4032066,0.02576314,0.03017394,0.02442955,0.5140504],"study_design_scores_gemma":[0.00001714522,0.00005311684,0.000129001,0.0000133841,0.00001093653,0.0000736332,0.000007785041,0.9836473,0.004336234,0.007273826,0.004428067,0.000009430345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04078387,0.0008048743,0.9324188,0.0003508185,0.0003971361,0.00009044552,0.0013306,0.0126966,0.01112687],"genre_scores_gemma":[0.6336678,0.0007568299,0.3156547,0.0007178112,0.0001769415,0.0003072321,0.007126074,0.001304865,0.04028777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007128066,"threshold_uncertainty_score":0.02384573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04669409525351188,"score_gpt":0.2457665645039995,"score_spread":0.1990724692504877,"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."}}