{"id":"W4414015553","doi":"10.11159/mvml25.139","title":"A Comparative Study of Segmentation Models for the Identification of the Trapezium Bone in X-rays","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Segmentation; Computer science; Computer vision; Artificial intelligence; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001829521,0.0008505507,0.0006462381,0.001733211,0.0003345231,0.001269992,0.0008147528,0.001173007,0.001392923],"category_scores_gemma":[0.004591178,0.0004250744,0.0009350636,0.0007345648,0.0004064084,0.0008562898,0.0004487314,0.0005090211,0.0003929004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149035,"about_ca_system_score_gemma":0.001128476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0178013,"about_ca_topic_score_gemma":0.01344824,"domain_scores_codex":[0.9995307,0.0001072105,0.00003636329,0.0001172172,0.0001467079,0.00006193626],"domain_scores_gemma":[0.9980227,0.001171838,0.0001593756,0.0001389749,0.0004221066,0.00008493613],"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":[0.001929626,0.0002353601,0.01383329,0.0003274065,0.0002472383,0.0002216833,0.0002291469,0.6871584,0.01769833,0.003232774,0.001841872,0.2730448],"study_design_scores_gemma":[0.000006187764,0.0001033881,0.001688327,0.00001904808,0.00002337784,0.00004861268,0.00003195732,0.9942444,0.003208116,0.0003059615,0.0003118247,0.00000878658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6552143,0.004458631,0.3288427,0.0007799705,0.0001869075,0.0001927805,0.0004894029,0.002619943,0.007215317],"genre_scores_gemma":[0.9135128,0.00125729,0.08193631,0.0001097956,0.00002745893,0.00005263772,0.0005673716,0.0001939939,0.002342413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0178013,"threshold_uncertainty_score":0.03539532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139031422864266,"score_gpt":0.240851937472304,"score_spread":0.2294616232436614,"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."}}