{"id":"W2889340074","doi":"10.1002/mp.13152","title":"Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound‐guided liver radiotherapy margins","year":2018,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Medical Research Council; Agence Nationale de la Recherche; Seventh Framework Programme; Engineering and Physical Sciences Research Council; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cancer Research UK","keywords":"Ultrasound; 3D ultrasound; Computer science; Radiation therapy; Match moving; Respiratory compensation; Motion compensation; Medicine; Computer vision; Radiology; Motion (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":[0.0007597341,0.0002106584,0.0002919212,0.0000385547,0.00009816997,0.00003001898,0.0001170084,0.00007442271,0.000751094],"category_scores_gemma":[0.0000609347,0.0001668464,0.00006874797,0.0001265636,0.0004443371,0.0001722448,0.00001360196,0.0001977661,0.000001295967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008000308,"about_ca_system_score_gemma":0.0001075929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001217851,"about_ca_topic_score_gemma":0.000001658949,"domain_scores_codex":[0.9983202,0.0001224109,0.0002272065,0.0002847528,0.000817471,0.0002280209],"domain_scores_gemma":[0.9989367,0.0003595801,0.0001362931,0.0002296791,0.0001931829,0.0001445576],"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":[0.00004808533,0.0003614141,0.02717098,0.0000188237,0.0003648433,0.0000011192,0.001662734,0.00003816837,0.01550959,0.001459943,0.0009492023,0.9524151],"study_design_scores_gemma":[0.01632855,0.005233266,0.2786551,0.001094771,0.001016012,0.0001232601,0.0003792735,0.140605,0.4091704,0.1394348,0.004959998,0.002999509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6401736,0.0004955036,0.3577898,0.0000389406,0.00008443728,0.000348661,0.00003476852,0.00004592682,0.0009882981],"genre_scores_gemma":[0.9932488,0.0001969773,0.005255235,0.000114365,0.001098542,0.00001744905,0.00001796759,0.00003486087,0.00001582551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9494156,"threshold_uncertainty_score":0.8223953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598999925904016,"score_gpt":0.3466100001634882,"score_spread":0.320620000904448,"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."}}