{"id":"W2467098617","doi":"10.1118/1.4956149","title":"SU‐F‐T‐15: Evaluation of 192Ir, 60Co and 169Yb Sources for High Dose Rate Prostate Brachytherapy Inverse Planning Using An Interior Point Constraint Generation Algorithm","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Brachytherapy; Rectum; Prostate; Medicine; Prostate cancer; Nuclear medicine; Urethra; Urology; Radiation treatment planning; Volume (thermodynamics); Algorithm; Mathematics; Physics; Radiation therapy; Radiology; Cancer; Surgery; 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":[0.001219409,0.0006988705,0.0004375464,0.0005033176,0.0001694489,0.0005117377,0.000946561,0.0005767063,0.001331073],"category_scores_gemma":[0.001892669,0.0003469381,0.0006693013,0.0004248621,0.0002198389,0.0003368657,0.0002970559,0.0003472059,0.0002065026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005397514,"about_ca_system_score_gemma":0.0007717575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003882908,"about_ca_topic_score_gemma":0.003075845,"domain_scores_codex":[0.9995998,0.0001465559,0.00002356207,0.00003998926,0.0001662894,0.00002383675],"domain_scores_gemma":[0.9993616,0.0003429186,0.00006759386,0.00003558232,0.0001442144,0.00004808827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002191712,0.0003213877,0.009410572,0.0005838291,0.0005571787,0.0002121793,0.0001328015,0.7411465,0.03482563,0.001161976,0.001620557,0.2078357],"study_design_scores_gemma":[0.0001866611,0.000651863,0.002822629,0.0000157077,0.0000928929,0.0001705383,0.00001649307,0.9768798,0.01805176,0.0001558189,0.0009352791,0.00002051681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6255827,0.001740874,0.3584685,0.0001928472,0.00007815682,0.000311343,0.0003542888,0.004543322,0.008728],"genre_scores_gemma":[0.8034751,0.0002125251,0.1940552,0.00005309967,0.00001197898,0.0001102307,0.0005455036,0.0003426153,0.001193829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003882908,"threshold_uncertainty_score":0.007720649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053909952915848,"score_gpt":0.3385260487736862,"score_spread":0.2979869492445277,"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."}}