{"id":"W4408684214","doi":"10.3390/encyclopedia5010040","title":"In Vivo Dosimetry in Radiotherapy: Techniques, Applications, and Future Directions","year":2025,"lang":"en","type":"article","venue":"Encyclopedia","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Medical physics; Radiation therapy; Dosimetry; Dosimeter; Brachytherapy; Quality assurance; Systems engineering; Computer science; Medicine; Nuclear medicine; Engineering; Radiology","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":[0.00008826945,0.00012216,0.0001591011,0.0002739272,0.00004532019,0.00001440133,0.0001029113,0.00005972581,0.000219847],"category_scores_gemma":[0.000001197571,0.0001247103,0.00002577959,0.0006143414,0.00003634761,0.0001392457,0.00001911569,0.0002028208,4.516184e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007061095,"about_ca_system_score_gemma":0.00003425509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001659047,"about_ca_topic_score_gemma":0.00001907154,"domain_scores_codex":[0.9993513,0.00003055674,0.0001849842,0.0002342265,0.00004638383,0.0001525617],"domain_scores_gemma":[0.9996796,0.00004409571,0.00003668743,0.0002050113,0.000009739088,0.00002490782],"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":[0.00001300199,0.0001880201,0.2625867,0.00001756805,0.00002340422,0.000001464922,0.0002797286,0.000001536444,0.003351031,0.04343976,0.006723347,0.6833745],"study_design_scores_gemma":[0.0001879429,0.000007669162,0.004999284,0.00001657565,0.000002751337,3.693342e-7,0.00004664074,0.00001686275,0.00391141,0.005540322,0.985151,0.0001191814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04039617,0.03839476,0.5388089,0.004519373,0.0005412545,0.00445724,0.0001004894,0.000939763,0.371842],"genre_scores_gemma":[0.1288162,0.1215385,0.6808103,0.003775063,0.008136666,0.01218883,0.00006879363,0.00029589,0.04436974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9784276,"threshold_uncertainty_score":0.5085538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002366092275509232,"score_gpt":0.2626342373558039,"score_spread":0.2602681450802947,"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."}}