{"id":"W4410296918","doi":"10.1109/isbi60581.2025.10980786","title":"Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound","year":2025,"lang":"en","type":"article","venue":"","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ensemble learning; Artificial intelligence; Ultrasound; Acoustics; Physics","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":[0.001955305,0.0007573002,0.001047637,0.0006619245,0.0003620067,0.0005510908,0.0008680112,0.0008787137,0.0005520478],"category_scores_gemma":[0.003908518,0.0003286472,0.0005759345,0.0005375425,0.0003693071,0.000999585,0.0008983543,0.001175229,0.0001972969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005470419,"about_ca_system_score_gemma":0.0004917291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004017371,"about_ca_topic_score_gemma":0.003969627,"domain_scores_codex":[0.999524,0.000172548,0.0000230384,0.0001065145,0.0001180858,0.00005583742],"domain_scores_gemma":[0.9981079,0.001161218,0.000148723,0.0001484015,0.000371449,0.0000622728],"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":[0.0001266161,0.00006689524,0.00203652,0.00004639828,0.0001114981,0.00007131646,0.00008150795,0.8445908,0.008406231,0.001902787,0.0006727624,0.1418865],"study_design_scores_gemma":[0.00000101134,0.0000158195,0.0001458029,0.000002065387,0.000005302382,0.000008936934,0.000004180636,0.9980066,0.001205809,0.0005247919,0.00007663637,0.000003008595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07539262,0.0006322882,0.9223869,0.0002112512,0.00003944674,0.00002520547,0.00005223223,0.0005847797,0.0006752513],"genre_scores_gemma":[0.8542437,0.0004374718,0.1434063,0.0001316606,0.00006214013,0.00006165297,0.0001725274,0.00007521531,0.001409333],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004017371,"threshold_uncertainty_score":0.01034075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006684991783774108,"score_gpt":0.2207749857583941,"score_spread":0.21408999397462,"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."}}