{"id":"W4417473274","doi":"10.1109/sipaim67325.2025.11283433","title":"Evaluation of a novel and simple segmentation uncertainty score in pediatric and neonatal echocardiography","year":2025,"lang":"","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Segmentation; Quality Score; Pattern recognition (psychology); Data set; Simple (philosophy); Set (abstract data type); Image segmentation","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":[0.008120652,0.001465088,0.001333659,0.003698299,0.0005836477,0.002928004,0.001741333,0.002577483,0.001383442],"category_scores_gemma":[0.03331494,0.0004147757,0.0009082271,0.001418763,0.00101351,0.001628049,0.002086377,0.0008908971,0.0005625557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009687842,"about_ca_system_score_gemma":0.00105437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003027721,"about_ca_topic_score_gemma":0.004621145,"domain_scores_codex":[0.9933068,0.001917725,0.0007640633,0.00136327,0.002355037,0.0002929973],"domain_scores_gemma":[0.9848143,0.009134987,0.001658639,0.001274168,0.002567819,0.0005500422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003569308,0.000667785,0.1710046,0.001653788,0.001358257,0.0007551769,0.0008159284,0.2115315,0.068376,0.003618343,0.008718039,0.5279314],"study_design_scores_gemma":[0.0002392444,0.002426161,0.09152259,0.0003045633,0.0003797274,0.002406906,0.0004620335,0.8052942,0.08358967,0.005891196,0.007218031,0.0002656891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5738173,0.003893528,0.4048404,0.0006394465,0.0002478978,0.0005261079,0.004630896,0.007678617,0.003725882],"genre_scores_gemma":[0.8263472,0.0004931521,0.164592,0.0002204355,0.0001153824,0.0001823763,0.006770045,0.0005925311,0.0006868655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008120652,"threshold_uncertainty_score":0.04294664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169829638460673,"score_gpt":0.355824795983566,"score_spread":0.3141264995989592,"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."}}