{"id":"W2116000261","doi":"10.1016/j.ultrasmedbio.2008.07.004","title":"A Real-Time Freehand Ultrasound Calibration System with Automatic Accuracy Feedback and Control","year":2008,"lang":"en","type":"article","venue":"Ultrasound in Medicine & Biology","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"","keywords":"Calibration; Computer science; Robustness (evolution); Ground truth; Set (abstract data type); Artificial intelligence; Computer vision; Real-time computing; Statistics; Mathematics","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":[0.001275875,0.001050866,0.001291787,0.0009549041,0.0006941441,0.0009743167,0.002272446,0.001791127,0.01376561],"category_scores_gemma":[0.003059541,0.0008659583,0.0003308538,0.0005789928,0.0003916427,0.00110963,0.001183176,0.0007447437,0.004235855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003287156,"about_ca_system_score_gemma":0.001255873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001372096,"about_ca_topic_score_gemma":0.00166535,"domain_scores_codex":[0.9980171,0.0001552096,0.00009774877,0.000520813,0.001124842,0.0000842578],"domain_scores_gemma":[0.9973391,0.0007792157,0.0001967025,0.0003909934,0.001119156,0.0001749942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009549083,0.0002671549,0.001772485,0.000561066,0.00007569891,0.0002567567,0.0003474943,0.003678513,0.4218646,0.001730088,0.009616034,0.5588752],"study_design_scores_gemma":[0.000877596,0.002097342,0.02007838,0.0002119129,0.0004676429,0.007765885,0.0001185702,0.27755,0.5708942,0.001827988,0.1175031,0.000607434],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02627728,0.0005994301,0.9470863,0.0002044117,0.0004086836,0.0004227764,0.0002276718,0.02048731,0.00428612],"genre_scores_gemma":[0.3904936,0.0004349191,0.5861211,0.0007513023,0.000224559,0.0007094854,0.000489583,0.001270531,0.01950491],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01376561,"threshold_uncertainty_score":0.04605055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009006023153610973,"score_gpt":0.2467680158138719,"score_spread":0.2377619926602609,"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."}}