{"id":"W2397427349","doi":"10.1016/j.brachy.2016.04.067","title":"Dosimetric and Early Outcome Data Following an Integrated VMAT or HDR Brachytherapy Boost with External Beam Radiotherapy for Localized Prostate Cancer","year":2016,"lang":"en","type":"article","venue":"Brachytherapy","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Brachytherapy; Prostate; Rectum; Nuclear medicine; Prostate cancer; External beam radiotherapy; Radiation therapy; Fiducial marker; Radiology; Cancer; Surgery","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":[0.0009929924,0.0004831016,0.00115982,0.0010554,0.0003673025,0.000588664,0.000713058,0.0004372254,0.001763696],"category_scores_gemma":[0.001765603,0.0001445319,0.001318892,0.0009998835,0.0007092161,0.0003982996,0.000487282,0.0007681835,0.0004301807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007706716,"about_ca_system_score_gemma":0.0003545046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00407069,"about_ca_topic_score_gemma":0.003445172,"domain_scores_codex":[0.9994643,0.0001249539,0.00005494723,0.00006631113,0.0001315268,0.0001578929],"domain_scores_gemma":[0.9984248,0.0005326589,0.0004483518,0.0001817262,0.0002010394,0.0002114439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1095367,0.008889223,0.5967459,0.0007461393,0.002154256,0.003213892,0.001272839,0.02162633,0.07594248,0.0004343748,0.001442436,0.1779953],"study_design_scores_gemma":[0.0002632664,0.02417998,0.9588772,0.00002928088,0.0009488186,0.001544274,0.0001946143,0.001068447,0.01115499,0.0001799964,0.001507061,0.0000519663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933883,0.002089981,0.0006662906,0.00006623365,0.00003367805,0.00003729812,0.0009251562,0.00003160238,0.002761462],"genre_scores_gemma":[0.9979612,0.0002314651,0.00008020448,0.00002923841,0.00002270569,0.00001614492,0.0009124439,0.00001833008,0.0007282772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00407069,"threshold_uncertainty_score":0.008094013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870876714531503,"score_gpt":0.3398565474890997,"score_spread":0.3111477803437847,"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."}}