{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156088,0.001044613,0.001224863,0.001234593,0.0004869526,0.001135946,0.002487726,0.002095908,0.003005716],"category_scores_gemma":[0.004980804,0.0007548066,0.001311218,0.00070842,0.00101793,0.001540261,0.002160309,0.002054738,0.001242559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127163,"about_ca_system_score_gemma":0.001250819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022069,"about_ca_topic_score_gemma":0.009169544,"domain_scores_codex":[0.9993953,0.0001706399,0.00002638,0.000138139,0.0002112884,0.00005835505],"domain_scores_gemma":[0.9989479,0.0004559369,0.0001068257,0.0002355723,0.0001903993,0.00006335471],"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":[0.0002541952,0.00009447937,0.0008045511,0.0002349742,0.000133752,0.0001963273,0.000311276,0.6511743,0.03443445,0.04098517,0.006367841,0.2650087],"study_design_scores_gemma":[0.00000894749,0.00001718183,0.00004142734,0.000005931094,0.000004164379,0.00002683079,0.000006294295,0.9908387,0.002694653,0.00506514,0.001282865,0.000007908257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005197062,0.000116127,0.9923679,0.0001254884,0.00002720828,0.00003290432,0.00004874658,0.001364212,0.0007203978],"genre_scores_gemma":[0.2142461,0.0001676561,0.7799173,0.000264124,0.00005202508,0.0001502003,0.0002976102,0.0009209507,0.003984084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01022069,"threshold_uncertainty_score":0.02032244,"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."}}