{"id":"W3186471769","doi":"10.1002/acm2.13292","title":"MRI‐TRUS registration methodology for TRUS‐guided HDR prostate brachytherapy","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Brachytherapy; Prostate; Medicine; Prostate brachytherapy; Image registration; Magnetic resonance imaging; Nuclear medicine; Image fusion; Ultrasound; Fiducial marker; Radiology; Radiation therapy; Computer science; Artificial intelligence; Internal medicine","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":[0.004693964,0.0005318925,0.000354306,0.001405363,0.0004169837,0.0007243766,0.0006932612,0.0002934735,0.001133748],"category_scores_gemma":[0.00875349,0.0003324118,0.0005008166,0.0009318188,0.0003907201,0.0003650151,0.0005873422,0.0004801014,0.000533051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005799884,"about_ca_system_score_gemma":0.00112057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513934,"about_ca_topic_score_gemma":0.001700489,"domain_scores_codex":[0.9979616,0.0008169968,0.0002188376,0.0002850649,0.0006691175,0.00004851973],"domain_scores_gemma":[0.9979802,0.00047702,0.0006190418,0.0003952892,0.0004901182,0.00003843155],"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":[0.001155215,0.0002668799,0.09472126,0.0006619288,0.0003017854,0.0003374174,0.0007852691,0.04511737,0.1379708,0.003476427,0.002201313,0.7130044],"study_design_scores_gemma":[0.0001276201,0.002768948,0.2546371,0.000160051,0.0005584783,0.008384087,0.0003464286,0.468111,0.2370282,0.003188105,0.02442865,0.0002614317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2076932,0.00133616,0.7868308,0.0001422398,0.00005606519,0.0003856836,0.0002251253,0.001416982,0.001913739],"genre_scores_gemma":[0.5736924,0.0003304452,0.4245543,0.00005947471,0.00002591937,0.0003585198,0.0003451908,0.0001800325,0.0004537017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004693964,"threshold_uncertainty_score":0.02482438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1693284466152984,"score_gpt":0.462893587756714,"score_spread":0.2935651411414156,"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."}}