{"id":"W3127821308","doi":"10.2174/1872212115666210203152106","title":"3D Shape Segmentation: A Review","year":2021,"lang":"en","type":"review","venue":"Recent Patents on Engineering","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Segmentation; Active shape model; Heat kernel signature; Artificial intelligence; Shape analysis (program analysis); Computer science; Cluster analysis; Scale-space segmentation; Pattern recognition (psychology); Process (computing); Segmentation-based object categorization; Identification (biology); Computer vision; Image segmentation","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":[0.00094255,0.001059962,0.001300004,0.004464125,0.0004946233,0.001958487,0.001463398,0.001580005,0.009216717],"category_scores_gemma":[0.001984564,0.0007582007,0.001171661,0.004731512,0.0007615265,0.002662657,0.0008262084,0.001062315,0.006382702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000604648,"about_ca_system_score_gemma":0.001519764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299972,"about_ca_topic_score_gemma":0.00174122,"domain_scores_codex":[0.999469,0.00006243557,0.00007018152,0.0001278856,0.0002380086,0.0000324876],"domain_scores_gemma":[0.9988224,0.0005870684,0.0001068706,0.00005030946,0.0003883446,0.00004483483],"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":[0.00004047832,0.0000384239,0.0003092875,0.01595988,0.00006669834,0.00018773,0.00007794197,0.001124671,0.001579634,0.004936947,0.02692033,0.948758],"study_design_scores_gemma":[0.000006709226,0.00006386642,0.0008281613,0.004622149,0.0001376087,0.001888727,0.00009863904,0.00100386,0.002150328,0.003636221,0.9855086,0.00005507699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003325587,0.9909871,0.003624784,0.000381471,0.0003722211,0.00001618967,0.00009640949,0.00008448284,0.004104775],"genre_scores_gemma":[0.002972934,0.9907465,0.003350877,0.000309042,0.0004344557,0.00002156884,0.0002638143,0.00003603017,0.001864725],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009216717,"threshold_uncertainty_score":0.03083301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05976344482648296,"score_gpt":0.296812668647166,"score_spread":0.2370492238206831,"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."}}