{"id":"W4401634887","doi":"10.1109/tmm.2024.3443613","title":"CarveNet: Carving Point-Block for Complex 3D Shape Completion","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Multimedia","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"JST-Mirai Program; Natural Sciences and Engineering Research Council of Canada; Info-communications Media Development Authority; National Research Foundation Singapore","keywords":"Computer science; Carving; Block (permutation group theory); Point (geometry); Completion (oil and gas wells); Artificial intelligence; Computer graphics (images); Geometry; Mathematics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001167309,0.0002056128,0.0002287031,0.0002569726,0.0001394827,0.00007859118,0.0001090051,0.00009922733,0.0002177687],"category_scores_gemma":[0.000003446412,0.0002127491,0.0002502098,0.0002445143,0.00002738052,0.0001046793,5.401553e-7,0.0002373529,0.0001913894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089948,"about_ca_system_score_gemma":0.00001631506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004333237,"about_ca_topic_score_gemma":0.00009451447,"domain_scores_codex":[0.9990086,0.0000176811,0.0002596332,0.0002687035,0.0001692843,0.0002760765],"domain_scores_gemma":[0.9994571,0.0001908484,0.00001185976,0.0001936859,0.00004902032,0.00009752078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007800703,0.00002832877,0.000001885406,0.0001465301,0.0001792229,0.000003686637,0.0003387036,0.8595577,0.01444239,0.000002712497,0.0008643052,0.1244268],"study_design_scores_gemma":[0.000255329,0.00003079146,0.00002487831,0.00008779496,0.0001476971,0.000005462424,0.0000490027,0.9925321,0.003269531,0.00001878324,0.003350114,0.0002285659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008718365,0.0002781381,0.9879978,0.0001318646,0.001083575,0.0002062624,0.0002480251,0.0009560402,0.0003799704],"genre_scores_gemma":[0.9855201,0.00006582608,0.01360768,0.00004559512,0.0001921225,0.00009086073,0.00004795517,0.000074948,0.0003548863],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9768018,"threshold_uncertainty_score":0.8675659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03044060495744065,"score_gpt":0.2582343640981072,"score_spread":0.2277937591406666,"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."}}