{"id":"W2070980315","doi":"10.1118/1.4816384","title":"Gantry-angle resolved VMAT pretreatment verification using EPID image prediction","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Image-guided radiation therapy; Imaging phantom; Medical imaging; Frame rate; Nuclear medicine; Computer science; Computer vision; Biomedical engineering; Artificial intelligence; Mathematics; Optics; Physics; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008326965,0.0001568666,0.0001789583,0.00001927505,0.0001100102,0.00003424739,0.0001425491,0.00006009059,0.001259621],"category_scores_gemma":[0.00001186488,0.0001358422,0.00007760886,0.0001293105,0.0001094257,0.0003230596,0.00002994235,0.0001767518,0.00004315199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009739671,"about_ca_system_score_gemma":0.00005426502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001961298,"about_ca_topic_score_gemma":2.327712e-7,"domain_scores_codex":[0.9989048,0.00004081082,0.0002252403,0.0002481414,0.0003428322,0.0002381321],"domain_scores_gemma":[0.9993216,0.00004252173,0.0001034919,0.0003205465,0.00006989685,0.0001419727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000397383,0.001781345,0.0507477,0.00006502592,0.0003686846,0.000006069494,0.0009000569,0.0001108553,0.1096268,0.00705531,0.01405522,0.8152432],"study_design_scores_gemma":[0.003189663,0.0004625602,0.009605672,0.0003591651,0.0001828496,0.000006930388,0.000189877,0.1001063,0.7642874,0.1044098,0.01603311,0.001166682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05847739,0.00004746732,0.9384993,0.0001788815,0.0001251637,0.0004174541,0.00002371219,0.0001720685,0.002058505],"genre_scores_gemma":[0.9702391,0.00001974075,0.02783247,0.0001206455,0.001235353,0.0001652912,0.0001414631,0.00004767689,0.0001982627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9117617,"threshold_uncertainty_score":0.9996533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350744212105237,"score_gpt":0.2802175676180944,"score_spread":0.266710125497042,"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."}}