{"id":"W4372336724","doi":"10.1002/acm2.14019","title":"Application of repeat image analysis to radiation therapy imaging modalities as a quality improvement tool for image guided radiotherapy","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; Princess Margaret Cancer Centre","funders":"","keywords":"Image-guided radiation therapy; Medicine; Radiation therapy; Quality assurance; Image quality; Medical physics; Cone beam computed tomography; Nuclear medicine; Radiology; Computer science; Computed tomography; Artificial intelligence; Image (mathematics)","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":[0.01105455,0.0005679633,0.0004891971,0.004401507,0.0004236315,0.001287215,0.0009648808,0.0004567476,0.00126423],"category_scores_gemma":[0.04391056,0.0002650731,0.0005774513,0.00241474,0.0006701637,0.0007985746,0.001053599,0.0005598758,0.0003844613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231931,"about_ca_system_score_gemma":0.001587851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003169346,"about_ca_topic_score_gemma":0.004109921,"domain_scores_codex":[0.9925871,0.002887381,0.0008421201,0.0006380921,0.002848515,0.000196716],"domain_scores_gemma":[0.9329144,0.02247889,0.02443882,0.006159734,0.01309752,0.0009104833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000705364,0.0002205428,0.6414594,0.0004812537,0.0001949318,0.0004094913,0.001504613,0.002854802,0.01296645,0.0002383488,0.002245367,0.3367194],"study_design_scores_gemma":[0.00005985687,0.001800364,0.930948,0.0002251361,0.0003295427,0.004918948,0.0008239537,0.02542638,0.02711241,0.0005030919,0.007708197,0.000144036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8511775,0.003304562,0.1351763,0.0006019279,0.00007987017,0.001401786,0.0009186878,0.002205085,0.005134407],"genre_scores_gemma":[0.8977895,0.0005223081,0.1000659,0.000126676,0.00005155969,0.0003505466,0.00042704,0.0001963441,0.0004699376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105455,"threshold_uncertainty_score":0.05846274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748707067714771,"score_gpt":0.4217096186060198,"score_spread":0.3942225479288721,"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."}}