{"id":"W2646681762","doi":"10.1109/tuffc.2017.2717933","title":"Global Time-Delay Estimation in Ultrasound Elastography","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Elastography; Radio frequency; Algorithm; Mathematics; Ultrasound; Computer science; Physics; Acoustics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003740242,0.000393527,0.0005438122,0.0004776483,0.0007421313,0.0002584166,0.0002352797,0.0002494307,0.0000660044],"category_scores_gemma":[0.0001515772,0.0003810193,0.0002843157,0.0006075368,0.0002800294,0.0003688411,7.318641e-7,0.0006162663,0.00003415814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761198,"about_ca_system_score_gemma":0.0001671216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004458243,"about_ca_topic_score_gemma":0.0002229987,"domain_scores_codex":[0.9978235,0.00007035344,0.0004681171,0.0005929575,0.0003985619,0.0006465358],"domain_scores_gemma":[0.998319,0.0003350608,0.0001988556,0.0007019885,0.000146673,0.0002984783],"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":[0.003799305,0.006262662,0.3540986,0.0003726856,0.002553733,0.0002447704,0.0009970228,0.01472225,0.1075606,0.002985365,0.000691552,0.5057114],"study_design_scores_gemma":[0.05738687,0.01000828,0.5933821,0.001422053,0.004157025,0.005631151,0.0001791679,0.2936954,0.004097553,0.02247289,0.00257046,0.004997066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3522172,0.0007449302,0.6405338,0.0007976117,0.000455958,0.0007878405,0.0001726387,0.0001928359,0.004097221],"genre_scores_gemma":[0.9943338,0.00058971,0.004423203,0.0003761381,0.00003990853,0.000070046,0.00001333122,0.00003915356,0.0001147089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6421166,"threshold_uncertainty_score":0.9998642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007091531753409747,"score_gpt":0.2482736608228985,"score_spread":0.2411821290694888,"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."}}