{"id":"W1992855374","doi":"10.1145/1531326.1531377","title":"Curve skeleton extraction from incomplete point cloud","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":253,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Point cloud; Skeleton (computer programming); Computer science; Point (geometry); Topological skeleton; Algorithm; Computation; Planar; Iterative closest point; Set (abstract data type); Symmetry (geometry); Rigid transformation; Mathematics; Geometry; Artificial intelligence; Segmentation; Active shape model; Computer graphics (images)","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":[0.00009835794,0.0001890478,0.0001880599,0.0002690781,0.0001669477,0.00004295228,0.0001971199,0.0001365058,0.0001179397],"category_scores_gemma":[0.000009960821,0.0001997371,0.0002260452,0.0004613068,0.0000201359,0.0001564023,0.000001089364,0.0004561832,0.0000694768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000448271,"about_ca_system_score_gemma":0.000006640127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084955,"about_ca_topic_score_gemma":0.0001309273,"domain_scores_codex":[0.9990808,0.00002849299,0.0002501248,0.0002239262,0.000202176,0.0002144178],"domain_scores_gemma":[0.9992276,0.00009457545,0.00002714274,0.0005201761,0.00004028987,0.00009023913],"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":[0.00004932952,0.0003563574,0.00008758896,0.0000237655,0.0004503425,0.00001822636,0.0006127608,0.7604477,0.01176114,0.0003514045,0.001385732,0.2244557],"study_design_scores_gemma":[0.001214493,0.0003142271,0.004919244,0.0001553045,0.0005581986,0.00001608857,0.0002540578,0.8930207,0.01579692,0.07590052,0.006573163,0.0012771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1418778,0.0001426907,0.8555887,0.0008914826,0.0004103474,0.0000627235,0.00004902837,0.0005668858,0.0004103288],"genre_scores_gemma":[0.9956373,0.0005579359,0.003259595,0.000305052,0.0001284185,0.000007142276,0.00003609818,0.00002640251,0.00004208751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8537594,"threshold_uncertainty_score":0.8145041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175221569937746,"score_gpt":0.2424222738253163,"score_spread":0.2249001168315417,"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."}}