{"id":"W2265801021","doi":"10.1016/j.prro.2015.11.012","title":"Margin reduction from image guided radiation therapy for soft tissue sarcoma: Secondary analysis of Radiation Therapy Oncology Group 0630 results","year":2015,"lang":"en","type":"article","venue":"Practical Radiation Oncology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; McGill University Health Centre","funders":"National Cancer Institute","keywords":"Medicine; Image-guided radiation therapy; Radiation therapy; Nuclear medicine; Cone beam computed tomography; Soft tissue; Soft tissue sarcoma; Radiation treatment planning; Radiology; Computed tomography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001753438,0.0003066392,0.001127199,0.0006661059,0.0001148859,0.00003544187,0.0001103314,0.0005447842,0.0004255474],"category_scores_gemma":[0.002747246,0.0002755964,0.0003118186,0.0008324165,0.0001451817,0.0005023307,0.00002412166,0.0003140809,0.00004907769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398255,"about_ca_system_score_gemma":0.001118682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007071376,"about_ca_topic_score_gemma":0.00006813293,"domain_scores_codex":[0.9962863,0.0009023727,0.001268232,0.0006964893,0.0004575141,0.0003891192],"domain_scores_gemma":[0.9940172,0.00347002,0.00118567,0.0005054324,0.0004765907,0.0003450521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008822321,0.004224075,0.006457826,0.00001018945,0.002485714,0.00004383892,0.001466924,0.00009122042,0.008580361,0.000662616,0.04275502,0.9243999],"study_design_scores_gemma":[0.03917355,0.008547617,0.2557392,0.00001022143,0.002482934,0.00008241979,0.000519221,0.006779236,0.021494,0.001402777,0.6634099,0.0003589609],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8626633,0.01342986,0.01250077,0.09601409,0.002471972,0.005695777,0.000778553,0.0002959875,0.006149729],"genre_scores_gemma":[0.9649853,0.006962592,0.01801537,0.001871758,0.001103468,0.0006709012,0.006230656,0.00005682162,0.0001031366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9240409,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07174361354440875,"score_gpt":0.419257451378207,"score_spread":0.3475138378337983,"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."}}