{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008308465,0.000219689,0.0003199231,0.0001671402,0.0003641927,0.00004074332,0.0001498631,0.0001665263,0.0006876105],"category_scores_gemma":[0.0001110481,0.0001901111,0.0002100166,0.000253628,0.0003590436,0.0001562437,0.000002211868,0.001275372,0.00002739468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005814271,"about_ca_system_score_gemma":0.0002609919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007328238,"about_ca_topic_score_gemma":0.00001367389,"domain_scores_codex":[0.9979465,0.00004085701,0.0005065473,0.0005076034,0.0006130189,0.0003854699],"domain_scores_gemma":[0.9984126,0.0002596213,0.0001063425,0.0004737164,0.0001923299,0.0005553602],"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":[0.0002517602,0.0005854663,0.0001540691,0.0001216039,0.00007089897,0.000027878,0.0002130973,0.00001120457,0.4365744,0.0005191389,0.00320771,0.5582628],"study_design_scores_gemma":[0.01283972,0.0005987799,0.00246625,0.002592068,0.0007588262,0.007598701,0.0007805477,0.2025465,0.6683835,0.02953275,0.07007939,0.001822933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2318493,0.00001909741,0.7199176,0.04518205,0.001097529,0.0009538535,0.00003037199,0.0005554552,0.0003947614],"genre_scores_gemma":[0.9073648,0.00007401929,0.08670629,0.004462533,0.0003641178,0.0004373479,0.00002709691,0.00005582191,0.0005079841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6755155,"threshold_uncertainty_score":0.7752503,"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."}}