{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000636786,0.0006243349,0.0008692734,0.000773393,0.0003721774,0.0009511349,0.002470954,0.002528273,0.004591228],"category_scores_gemma":[0.002222884,0.0007050461,0.001384418,0.0009248336,0.0006508472,0.002055974,0.001311272,0.001501697,0.001860338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003955016,"about_ca_system_score_gemma":0.0005073352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226095,"about_ca_topic_score_gemma":0.001366355,"domain_scores_codex":[0.9996033,0.00008236104,0.00002222873,0.0001103848,0.0001438036,0.00003780582],"domain_scores_gemma":[0.999527,0.0001780001,0.00005346552,0.0001112066,0.00009570352,0.0000346156],"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":[0.0002700476,0.0000718247,0.0008930816,0.0002238553,0.0001292884,0.0002344864,0.0002262006,0.7007383,0.01927486,0.1096882,0.007861837,0.160388],"study_design_scores_gemma":[0.00001477046,0.0000411859,0.00009991661,0.00001056432,0.00001437139,0.0001236338,0.000009040614,0.9763986,0.001612774,0.01291809,0.008737684,0.00001929755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006745249,0.0003149808,0.988588,0.0002071083,0.00008679071,0.00004412931,0.0001138815,0.0008102925,0.003089598],"genre_scores_gemma":[0.3385703,0.001664052,0.6313467,0.0004628932,0.0001932248,0.0005730247,0.0007597645,0.0007801999,0.02564987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004591228,"threshold_uncertainty_score":0.01535916,"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."}}