{"id":"W3203589186","doi":"10.1017/s146039692100042x","title":"Retrospective analysis of portal dosimetry pre-treatment quality assurance of intracranial SRS/SRT VMAT treatment plans","year":2021,"lang":"en","type":"article","venue":"Journal of Radiotherapy in Practice","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Grand River Hospital; University of Waterloo","funders":"","keywords":"Quality assurance; Dosimetry; Medicine; Nuclear medicine; Gamma knife; Radiosurgery; Radiation treatment planning; Stereotactic radiotherapy; Medical physics; Image-guided radiation therapy; Radiation therapy; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006478016,0.0002733725,0.001304418,0.0003671778,0.00003965872,0.00002540714,0.0001863344,0.00008849586,0.000410479],"category_scores_gemma":[0.00009059897,0.0002235083,0.0006016688,0.001035003,0.00008397253,0.0006257335,0.000008893625,0.000256084,1.308202e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006328837,"about_ca_system_score_gemma":0.000362523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005428865,"about_ca_topic_score_gemma":0.00008430055,"domain_scores_codex":[0.9973081,0.0004901808,0.001248917,0.0002681717,0.0004604831,0.0002241122],"domain_scores_gemma":[0.9958095,0.0008235598,0.002439465,0.0004297802,0.0004158578,0.00008184111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00186367,0.004748351,0.8601966,0.00001979309,0.01948158,0.0001896702,0.003627655,0.003780239,0.07574378,0.002131142,0.00004985054,0.02816766],"study_design_scores_gemma":[0.01273851,0.006957884,0.5761757,0.0002585908,0.005836359,0.0003270841,0.003286976,0.001671371,0.3791879,0.0008837452,0.01171758,0.000958243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020385,0.002277687,0.09363487,0.0003478196,0.000198265,0.0002662209,0.0002091353,0.00001316263,0.001014306],"genre_scores_gemma":[0.9287609,0.003319259,0.06747317,0.00004586281,0.0002582709,0.00001051622,0.00001283471,0.00002914201,0.00009001985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3034441,"threshold_uncertainty_score":0.9114402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065521031097806,"score_gpt":0.35354748360433,"score_spread":0.342892273293352,"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."}}