{"id":"W4413814198","doi":"10.1111/cgf.70203","title":"FRIDU: Functional Map Refinement with Guided Image Diffusion","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Computer science; Computer vision; Image (mathematics); Artificial intelligence; Computer graphics (images); Diffusion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000266285,0.0002054003,0.0001881733,0.0003819823,0.0002343805,0.0002314092,0.0008022303,0.0000745987,0.00004818603],"category_scores_gemma":[0.00001154112,0.0001661355,0.00008708786,0.0007432799,0.0001429334,0.0004042498,0.0007117725,0.0002217154,0.00002883135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005071932,"about_ca_system_score_gemma":0.0000979953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135897,"about_ca_topic_score_gemma":0.00001078078,"domain_scores_codex":[0.9981905,0.00006363787,0.0003462911,0.0005269074,0.0005242249,0.0003484881],"domain_scores_gemma":[0.998736,0.00008049797,0.000104838,0.0007245715,0.0002353994,0.0001187573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001766896,0.0002438272,0.001918887,0.00007137881,0.00007615106,0.00004150953,0.00009281956,0.000009099524,0.001525927,0.343505,0.5770152,0.07548255],"study_design_scores_gemma":[0.008061104,0.00171681,0.04062944,0.001242424,0.0001126067,0.0001209237,0.00009850912,0.4884697,0.07443177,0.1967669,0.1860659,0.002283834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000533267,0.00006121692,0.9873152,0.009370814,0.0008157773,0.0002872138,0.000002220854,0.0005837691,0.001030467],"genre_scores_gemma":[0.01326213,0.00004542578,0.9676365,0.01761481,0.0001242274,0.0001010502,0.00005048504,0.00001915727,0.001146246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4884606,"threshold_uncertainty_score":0.6774811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205263681316478,"score_gpt":0.2582228521678884,"score_spread":0.2461702153547236,"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."}}