{"id":"W2103902312","doi":"10.1109/cvpr.1999.784717","title":"Adaptive balloon models","year":2003,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Smoothness; Initialization; Computer science; Constant (computer programming); Boundary (topology); Slipping; Constraint (computer-aided design); Offset (computer science); Boundary value problem; Control theory (sociology); Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Mathematical analysis; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589039,0.00004682825,0.0000484413,0.00003355336,0.00002551424,0.00003921669,0.0002713367,0.00002117197,0.0002020764],"category_scores_gemma":[0.00002673596,0.00003828076,0.00001862481,0.0001338862,0.00001951269,0.0005105421,0.00004073144,0.00004538291,0.000074237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001588961,"about_ca_system_score_gemma":0.00002855762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000934949,"about_ca_topic_score_gemma":9.179829e-7,"domain_scores_codex":[0.9994278,0.00004530654,0.00008753081,0.0001536375,0.0001780585,0.0001076541],"domain_scores_gemma":[0.9996302,0.00002781473,0.00001856102,0.0002162377,0.00003694372,0.00007030412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[3.007402e-7,0.00002272114,0.000003465994,8.481526e-7,0.000002870195,0.000004420866,0.0001277275,0.00001839167,0.0006594928,0.9476883,0.007157451,0.04431398],"study_design_scores_gemma":[0.0002926234,0.0001214724,0.00002205814,0.000009212776,0.000002415751,0.00001477795,0.00008373895,0.2368137,0.4086413,0.3523342,0.001425882,0.0002385441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001933218,0.00001673257,0.8361486,0.000106809,0.00004597396,0.00006022937,8.022705e-8,0.00028646,0.1633158],"genre_scores_gemma":[0.1102278,0.000005774617,0.8863741,0.001549778,0.000004472114,0.00001021938,1.683656e-7,0.000002404679,0.001825329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5953541,"threshold_uncertainty_score":0.2212595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580490104319912,"score_gpt":0.2669113276697145,"score_spread":0.2311064266265154,"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."}}