{"id":"W3012305599","doi":"10.1117/12.2549592","title":"Ultrasound image simulation with generative adversarial network","year":2020,"lang":"en","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Adversarial system; Computer science; Generative grammar; Artificial intelligence; Image (mathematics); Generative adversarial network; Computer vision","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":[0.0001155984,0.0001842463,0.0001891913,0.00001766762,0.0002113615,0.0002810633,0.0003999702,0.00004642694,0.0001626004],"category_scores_gemma":[0.00007510393,0.0001365697,0.00005805236,0.0004731319,0.00005649643,0.0009263378,0.0001067156,0.0001099691,0.00009443783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002006766,"about_ca_system_score_gemma":0.00005964955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001521717,"about_ca_topic_score_gemma":0.00001277012,"domain_scores_codex":[0.9986926,0.0001197822,0.0001813055,0.0004621483,0.0002409539,0.0003031656],"domain_scores_gemma":[0.9991167,0.000238201,0.00008052419,0.0002625808,0.0001350275,0.0001669784],"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":[0.00004520527,0.00001597671,0.0001179678,0.000002200826,0.00004743968,0.00001252596,0.0005783002,0.9783049,0.002749827,0.006915168,0.008969193,0.002241309],"study_design_scores_gemma":[0.0004719885,0.0001877969,0.0003035702,0.000004356647,0.00001342678,0.000003060058,0.00003482499,0.9892361,0.003894876,0.0003911048,0.00521469,0.0002442111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004782372,0.00002901433,0.9894357,0.002335579,0.0001985607,0.0001987489,0.000001734397,0.0001809119,0.007141463],"genre_scores_gemma":[0.6695376,0.000003854256,0.3269691,0.002319627,0.001046655,0.000005254284,0.000004556757,0.000009870128,0.0001035002],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6690594,"threshold_uncertainty_score":0.556915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603942475768901,"score_gpt":0.2245821028355435,"score_spread":0.2085426780778545,"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."}}