{"id":"W2159595075","doi":"10.1109/tmi.2009.2016561","title":"<i>B</i>-Mode Ultrasound Image Simulation in Deformable 3-D Medium","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Imaging phantom; Pixel; Interpolation (computer graphics); Computer vision; Computer science; Artificial intelligence; Voxel; Deformation (meteorology); Image (mathematics); Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007066386,0.0002056668,0.0002236445,0.0003693825,0.0001497196,0.0001558227,0.0007306538,0.0001004703,0.0003746231],"category_scores_gemma":[0.000138696,0.0001928861,0.00008855257,0.0007061482,0.0001313809,0.001538716,0.000003383944,0.0006593396,0.00007709095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567869,"about_ca_system_score_gemma":0.0001524696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007521477,"about_ca_topic_score_gemma":0.00002363606,"domain_scores_codex":[0.9972606,0.0001308726,0.0005297732,0.0004530349,0.001157742,0.000467979],"domain_scores_gemma":[0.998579,0.0004452585,0.00007952804,0.00044387,0.00008151991,0.0003708004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002537268,0.0006622198,0.00003574285,0.00002326737,0.00001154853,0.0002244199,0.001070665,0.01134543,0.02571147,0.000182262,0.001285424,0.9594222],"study_design_scores_gemma":[0.0009614422,0.00006756378,0.0002634181,0.0001465656,0.000008604672,0.00006664544,0.00005642888,0.8484655,0.1476181,0.001820113,0.000226885,0.0002987374],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008390737,0.00002572586,0.9926583,0.004172497,0.0004294397,0.000227179,0.000002426829,0.0005627593,0.001082598],"genre_scores_gemma":[0.9168578,0.00006869597,0.07565811,0.007225592,0.00006039689,0.00002680371,0.000003591993,0.0000131342,0.00008588647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9591234,"threshold_uncertainty_score":0.7865669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009900441601966601,"score_gpt":0.3110087914725959,"score_spread":0.3011083498706292,"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."}}