{"id":"W1978202284","doi":"10.1109/tmi.2010.2059709","title":"REDMAPS: Reduced-Dimensionality Matching for Prostate Brachytherapy Seed Reconstruction","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Brachytherapy; Curse of dimensionality; Matching (statistics); Prostate brachytherapy; Iterative reconstruction; Computer vision; Computer science; Artificial intelligence; Medical physics; Radiology; Medicine; Radiation therapy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110342,0.0009250341,0.0008711362,0.001217007,0.0004347302,0.0008354819,0.001200387,0.001127971,0.003599445],"category_scores_gemma":[0.003031436,0.0006846671,0.001064177,0.001050179,0.0003958898,0.000925444,0.001379244,0.000815467,0.00134221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952762,"about_ca_system_score_gemma":0.0009624183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220995,"about_ca_topic_score_gemma":0.002929428,"domain_scores_codex":[0.9992841,0.0002170984,0.00003414075,0.00008929802,0.0003307071,0.00004471478],"domain_scores_gemma":[0.9993175,0.0003047776,0.00006830107,0.0001269859,0.0001498794,0.0000325874],"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":[0.0003581715,0.0001223106,0.001064874,0.0001964677,0.0001614331,0.0002212865,0.0001735398,0.2999477,0.02598309,0.008601737,0.0141051,0.6490642],"study_design_scores_gemma":[0.00001944861,0.0000298491,0.0003011009,0.000005890357,0.000006798672,0.0001112355,0.00001134795,0.9861913,0.008035552,0.00274123,0.00252923,0.00001708785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008343374,0.0001648947,0.9874724,0.0000951669,0.00002660218,0.0000577868,0.0001271895,0.002910015,0.0008026144],"genre_scores_gemma":[0.06489472,0.0001268536,0.9327472,0.00008718836,0.0000176639,0.0001188229,0.0003968674,0.0003361452,0.001274525],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003599445,"threshold_uncertainty_score":0.01204133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0149337017002349,"score_gpt":0.3223183608123513,"score_spread":0.3073846591121164,"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."}}