{"id":"W2161096037","doi":"10.1002/cav.88","title":"Interactive venation‐based leaf shape modeling","year":2005,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Representation (politics); Lamina; Polygon mesh; Topological skeleton; Surface (topology); Interpolation (computer graphics); Skeleton (computer programming); Tree (set theory); Biological system; Triangle mesh; Artificial intelligence; Computer vision; Geometry; Computer graphics (images); Anatomy; Biology; Mathematics; Image (mathematics); Segmentation; Mathematical analysis; Active shape model","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":[0.000303091,0.0004479149,0.0004890896,0.0005030514,0.0003109497,0.001207216,0.001352321,0.0007090042,0.004523873],"category_scores_gemma":[0.0009123155,0.0003918658,0.0009393525,0.0003347777,0.0004004287,0.000792322,0.001193847,0.0006762288,0.000973854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005066376,"about_ca_system_score_gemma":0.0004231181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502263,"about_ca_topic_score_gemma":0.001830943,"domain_scores_codex":[0.9997726,0.00004511771,0.0000107577,0.0000401867,0.0001091664,0.00002219166],"domain_scores_gemma":[0.9996771,0.0001173326,0.00002363702,0.0001009248,0.00005185795,0.00002921252],"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":[0.0003111294,0.00009647204,0.001877933,0.0002505727,0.00007607087,0.000591127,0.0007250804,0.6104143,0.1659524,0.03442512,0.007758644,0.1775213],"study_design_scores_gemma":[0.00001286435,0.00001851294,0.0002359948,0.000009026687,0.000006190671,0.0001266754,0.00001848161,0.9717683,0.01595091,0.003004989,0.008830667,0.00001740159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01880201,0.00005091827,0.973663,0.00008695166,0.00001448355,0.00004134718,0.0001869574,0.004365329,0.00278895],"genre_scores_gemma":[0.4339306,0.0002341693,0.556832,0.0001002449,0.0000212026,0.0001608675,0.001093754,0.001354823,0.00627245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004523873,"threshold_uncertainty_score":0.01513386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441262318166891,"score_gpt":0.2966076515685221,"score_spread":0.2721950283868532,"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."}}