{"id":"W2049353247","doi":"10.1016/j.ijrobp.2006.03.026","title":"Assessment of residual error in liver position using kV cone-beam computed tomography for liver cancer high-precision radiation therapy","year":2006,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":121,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging","keywords":"Medicine; Nuclear medicine; Cone beam computed tomography; Radiation therapy; Cone beam ct; Residual; Liver cancer; Beam (structure); Radiology; Hepatocellular carcinoma; Computed tomography; Optics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004326905,0.0002111847,0.0004595062,0.0003476204,0.00007044546,0.00002564548,0.0003176364,0.0001647726,0.00006940978],"category_scores_gemma":[0.00001071258,0.0002030387,0.0002230037,0.0002277057,0.000120359,0.0004621214,0.00002794868,0.0002790119,3.257147e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006539875,"about_ca_system_score_gemma":0.0003353747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005016482,"about_ca_topic_score_gemma":0.00001071253,"domain_scores_codex":[0.9982338,0.0002135463,0.0008616979,0.0002374183,0.0002483681,0.000205193],"domain_scores_gemma":[0.9970526,0.0004251212,0.001615963,0.0001190294,0.0007450503,0.00004230988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005604755,0.001147203,0.5775914,0.000009957423,0.0006013694,0.000006035094,0.0002374216,0.04760855,0.0828661,0.04239788,0.0005872364,0.2463864],"study_design_scores_gemma":[0.01851005,0.002416658,0.6575526,0.0002569457,0.0001729701,0.00002363006,0.00006497568,0.1247082,0.1179915,0.06977556,0.007741519,0.0007853672],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5756041,0.0006489799,0.422167,0.0001877984,0.0007448357,0.0003900106,0.0001887035,0.0000188931,0.00004967954],"genre_scores_gemma":[0.9451725,0.0003594574,0.05190186,0.000141627,0.00211279,0.00003675172,0.0002385521,0.0000305399,0.000005939849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3702652,"threshold_uncertainty_score":0.8279676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116479169125988,"score_gpt":0.3617282737424959,"score_spread":0.340563482051236,"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."}}