{"id":"W2116578356","doi":"10.1109/iccv.2011.6126330","title":"Recursive MDL via graph cuts: Application to segmentation","year":2011,"lang":"en","type":"article","venue":"","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Minimum description length; Segmentation; Maxima and minima; Hierarchy; Image (mathematics); Image segmentation; Algorithm; Representation (politics); Pattern recognition (psychology); Computer science; Mathematics; Artificial intelligence","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":[0.001392387,0.0008143038,0.001100546,0.001792937,0.0005372016,0.001159737,0.001665578,0.001972296,0.002577222],"category_scores_gemma":[0.004483908,0.0007356103,0.0009952257,0.001723003,0.00136376,0.00163288,0.001687957,0.002030051,0.0005625986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210024,"about_ca_system_score_gemma":0.001080574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005318549,"about_ca_topic_score_gemma":0.004967397,"domain_scores_codex":[0.9992581,0.0002038774,0.00003938864,0.0001571049,0.0002746142,0.00006693068],"domain_scores_gemma":[0.9988164,0.0007279579,0.0001104966,0.000126001,0.0001738312,0.00004538196],"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":[0.00007014822,0.00004298274,0.0003180019,0.0001248153,0.00004224877,0.00007292251,0.0001398673,0.7313885,0.008950383,0.05666657,0.002126086,0.2000575],"study_design_scores_gemma":[0.000007265549,0.00001433851,0.00004956037,0.000006795009,0.000004462454,0.00002021857,0.000007380542,0.9757907,0.001482983,0.021654,0.0009562,0.000006130471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002321302,0.00009934123,0.9967188,0.0001111325,0.000009705198,0.00002100415,0.00002295038,0.0002551088,0.0004406228],"genre_scores_gemma":[0.07738503,0.0001699179,0.9204335,0.0001279374,0.00003096124,0.00009388575,0.0001554452,0.0002797202,0.001323525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005318549,"threshold_uncertainty_score":0.0152384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194820787145562,"score_gpt":0.2760395893236011,"score_spread":0.2565575106090449,"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."}}