{"id":"W2018689670","doi":"10.1118/1.3539648","title":"CT image artifacts from brachytherapy seed implants: A postprocessing 3D adaptive median filter","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of Victoria; Island Health","funders":"","keywords":"Imaging phantom; Voxel; Contrast-to-noise ratio; Standard deviation; Nuclear medicine; Brachytherapy; Image quality; Hounsfield scale; Reconstruction filter; Streak; Filter (signal processing); Artifact (error); Medicine; Mathematics; Computer science; Radiology; Artificial intelligence; Computed tomography; Physics; Computer vision; Filter design; Radiation therapy; Optics; Image (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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000108658,0.0002922398,0.0003602396,0.00003014811,0.0001158451,0.00003185145,0.0003464699,0.00005905348,0.002939893],"category_scores_gemma":[0.00001276606,0.0002475109,0.0001176324,0.0001530049,0.0002324578,0.0004232563,0.0000566075,0.0004507965,0.00006092859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003593386,"about_ca_system_score_gemma":0.0001224491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000572447,"about_ca_topic_score_gemma":0.000006907126,"domain_scores_codex":[0.998356,0.00005603777,0.000294709,0.0003985761,0.0004553325,0.0004393122],"domain_scores_gemma":[0.9990091,0.0001164238,0.0001642529,0.0003441597,0.00006591538,0.0003001171],"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":[0.0002278417,0.0008551705,0.02875531,0.00001591852,0.0004462294,0.0001415213,0.005000322,9.731895e-7,0.009983781,0.001542379,0.001264356,0.9517662],"study_design_scores_gemma":[0.003889942,0.0005974029,0.01374068,0.000564975,0.0001304764,0.00001848497,0.000457799,0.004140744,0.6054343,0.3632211,0.005785296,0.002018792],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.089384,0.0000992581,0.9020948,0.0001678305,0.0001999539,0.0002429114,0.0001387243,0.0002513844,0.007421146],"genre_scores_gemma":[0.9535973,0.00001721511,0.04387411,0.0009182039,0.001296806,0.00004837373,0.0001150814,0.00007431307,0.00005858083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9497474,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002271764009693,"score_gpt":0.2726347870502308,"score_spread":0.2526120694101338,"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."}}