{"id":"W2624429545","doi":"10.1088/1742-6596/847/1/012038","title":"Clinical management of tumour volume changes in VMAT head & neck radiation treatment","year":2017,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Head and neck; Nuclear medicine; Radiation treatment planning; Radiation therapy; Imaging phantom; Bolus (digestion); Medicine; Dosimeter; Shrinkage; Biomedical engineering; Medical physics; Materials science; Radiology; Dosimetry; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000157899,0.0001438738,0.0004251148,0.00004229351,0.00007730247,0.00006077287,0.0002761004,0.00003002834,0.00007123673],"category_scores_gemma":[0.000003811324,0.0001208352,0.0001336142,0.00003856938,0.0001233584,0.0005097437,0.00003811584,0.0001318389,0.000001797046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005044139,"about_ca_system_score_gemma":0.00006415974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006062828,"about_ca_topic_score_gemma":0.0000321159,"domain_scores_codex":[0.9991062,0.00004421135,0.0004334963,0.0001184749,0.0001511318,0.0001465112],"domain_scores_gemma":[0.9984798,0.00001926173,0.001015696,0.0003020625,0.0001331447,0.00004998856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000108323,0.0003254504,0.1501699,0.00002586747,0.0001844649,0.000005619698,0.0004353293,0.00003755032,0.00230925,0.02414643,0.00008473276,0.8221671],"study_design_scores_gemma":[0.005079662,0.002694397,0.583787,0.001181385,0.0002043054,0.000007686659,0.001038713,0.0001869779,0.2619881,0.09910582,0.04402794,0.0006980738],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8172904,0.0001589402,0.1780826,0.001078185,0.0003932308,0.0003425221,0.00003548312,0.00001688565,0.002601801],"genre_scores_gemma":[0.9796609,0.0008292301,0.01854213,0.000008541923,0.0003952084,0.000009323964,0.000005094432,0.0000133229,0.0005362022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.821469,"threshold_uncertainty_score":0.4927518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05227893401209328,"score_gpt":0.3688250931811354,"score_spread":0.3165461591690422,"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."}}