{"id":"W2002760403","doi":"10.1118/1.3533947","title":"Characterization of image quality and image‐guidance performance of a preclinical microirradiator","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Princess Margaret Cancer Centre","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Imaging phantom; Image quality; Flat panel detector; Image-guided radiation therapy; Medical imaging; Cone beam computed tomography; Nuclear medicine; Image noise; Materials science; Optics; Dosimetry; Detector; Biomedical engineering; Physics; Medicine; Computer science; Artificial intelligence; Computed tomography; Radiology; 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":[0.0006705314,0.0002753928,0.0002188126,0.0002939496,0.00008816476,0.0003484036,0.0003146578,0.0003124269,0.001208861],"category_scores_gemma":[0.002250999,0.0001668445,0.0001559761,0.0001105666,0.0002444658,0.0002959952,0.0001546573,0.0002775614,0.000232511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035103,"about_ca_system_score_gemma":0.0002216025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001159594,"about_ca_topic_score_gemma":0.0008102722,"domain_scores_codex":[0.9996847,0.00004698161,0.00001699939,0.00006390303,0.000144323,0.00004303216],"domain_scores_gemma":[0.9986007,0.0005401926,0.0002719037,0.0001260069,0.0003431316,0.0001181961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001938183,0.00005859336,0.001359992,0.00003963873,0.000009224023,0.00002823867,0.0000368183,0.0003385672,0.9943371,0.00001633145,0.00002842269,0.003553161],"study_design_scores_gemma":[0.00001585545,0.003364886,0.02405625,0.000009233825,0.00006580638,0.0002407961,0.00002698819,0.004745706,0.9668782,0.00001165217,0.0005745743,0.00001002879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875972,0.0009926514,0.01068494,0.0000364204,0.000010091,0.00005597479,0.00008472343,0.0001458922,0.0003920311],"genre_scores_gemma":[0.9908513,0.0003436996,0.007486066,0.00004571355,0.000009357283,0.00005045159,0.00025994,0.00008877325,0.0008647997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001208861,"threshold_uncertainty_score":0.004044056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596548582935292,"score_gpt":0.3260010614821584,"score_spread":0.3000355756528055,"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."}}