{"id":"W1994447045","doi":"10.1118/1.2761287","title":"MO‐E‐AUD‐01: Automated CBCT QA for Image‐Guided Radiation Therapy","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Isocenter; Image-guided radiation therapy; Imaging phantom; Medical imaging; Cone beam computed tomography; Collimator; Quality assurance; Nuclear medicine; Dosimetry; Linear particle accelerator; Flat panel detector; Image quality; Radiosurgery; Medical physics; Detector; Optics; Medicine; Radiation therapy; Beam (structure); Computer science; Physics; Computed tomography; Artificial intelligence; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009687902,0.0005084959,0.0003332588,0.001006028,0.0002329661,0.0005868761,0.001081984,0.0004499095,0.007731989],"category_scores_gemma":[0.00201247,0.000362486,0.0002252597,0.0006517426,0.0002945901,0.0003774558,0.0004380301,0.0003816289,0.002152328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045687,"about_ca_system_score_gemma":0.0005469986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003585437,"about_ca_topic_score_gemma":0.004133436,"domain_scores_codex":[0.9993725,0.0001331853,0.00002925986,0.00008802213,0.0003469308,0.0000300681],"domain_scores_gemma":[0.9990945,0.0002560602,0.00008326056,0.0001818535,0.000350649,0.00003367725],"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":[0.001871025,0.0004241798,0.009901601,0.0005615408,0.0001514704,0.0001655892,0.0002391552,0.04099886,0.2845736,0.002598058,0.01573244,0.6427826],"study_design_scores_gemma":[0.0004097753,0.0006815941,0.06291001,0.0001164741,0.0001173945,0.0009386401,0.00004089615,0.5019637,0.3766631,0.001113924,0.05487755,0.0001669458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07890411,0.0005305005,0.8814854,0.00009061594,0.00004746358,0.0004899691,0.001002415,0.03054001,0.006909603],"genre_scores_gemma":[0.438762,0.0001796383,0.5504825,0.0001955797,0.00004040083,0.0004832507,0.001727696,0.002643126,0.005485735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007731989,"threshold_uncertainty_score":0.02586615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335814495758699,"score_gpt":0.3334455998243804,"score_spread":0.3200874548667934,"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."}}