{"id":"W2045434590","doi":"10.1117/12.444106","title":"Reconstruction of anatomical shapes from scattered data using deformable Bezier surfaces","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bézier curve; Computer science; Parametric surface; Surface (topology); Parameterized complexity; Surface reconstruction; Bézier surface; Coordinate system; CAD; Reverse engineering; Parametric statistics; Feature (linguistics); Artificial intelligence; Computer Aided Design; Solid modeling; Computer vision; Algorithm; Geometry; Mathematics; Engineering drawing; Engineering","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":[0.0008838039,0.0006692114,0.000725465,0.001172796,0.0002132762,0.0009286414,0.0006405211,0.0006616697,0.001383978],"category_scores_gemma":[0.003378963,0.0006679991,0.0007500902,0.0007544096,0.0006532155,0.001065756,0.001005704,0.001115855,0.0006913946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349705,"about_ca_system_score_gemma":0.0005369643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008423148,"about_ca_topic_score_gemma":0.00110243,"domain_scores_codex":[0.999472,0.00009101404,0.00002984496,0.00008702911,0.0002948799,0.00002537653],"domain_scores_gemma":[0.9990168,0.0004297887,0.00008603065,0.0002717891,0.0001554666,0.00004020763],"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":[0.000233324,0.0001026283,0.002154176,0.0002016613,0.00005962425,0.0004594179,0.000481551,0.5317779,0.1028497,0.0141876,0.001251627,0.3462408],"study_design_scores_gemma":[0.00001472302,0.00005420985,0.0005441061,0.00001230911,0.000007414283,0.0003928445,0.00007319904,0.9649153,0.02387034,0.008136051,0.001954124,0.0000254226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01165093,0.00003371059,0.987699,0.00003787278,0.000006523122,0.00001729274,0.00003368906,0.000308684,0.000212254],"genre_scores_gemma":[0.2409182,0.0003094354,0.7567699,0.00003863061,0.00001501068,0.00007111024,0.0003532311,0.0002035204,0.001321012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001383978,"threshold_uncertainty_score":0.004674077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0240870249310529,"score_gpt":0.2376491447409399,"score_spread":0.213562119809887,"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."}}