{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336721,0.0001002165,0.0002794084,0.00001297375,0.00002174464,0.000002796157,0.0001435629,0.00004445863,0.0002174311],"category_scores_gemma":[0.00002316817,0.00008983743,0.00005710422,0.00008182423,0.0003673618,0.0001894852,0.0000415598,0.0001389124,0.000001149804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006128869,"about_ca_system_score_gemma":0.00005002699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000293763,"about_ca_topic_score_gemma":1.209135e-7,"domain_scores_codex":[0.9990879,0.0000455913,0.0003941766,0.000158284,0.0001929202,0.0001211059],"domain_scores_gemma":[0.9993096,0.00005411627,0.0002749649,0.0002056325,0.00007787817,0.00007783157],"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":[0.0001107109,0.0005821068,0.2606037,0.0002048076,0.00006383409,4.504502e-7,0.0007475535,3.81564e-8,0.6389548,0.003546273,0.00003789178,0.09514777],"study_design_scores_gemma":[0.0004368406,0.0001337278,0.1532866,0.00009029842,0.00001298075,3.097701e-7,0.000006502855,0.0002330038,0.8430313,0.002499372,0.0001335245,0.0001355756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128585,0.00001980762,0.1863266,0.00002670348,0.00003192081,0.000106071,0.00003561111,0.00001985799,0.0005748847],"genre_scores_gemma":[0.9861004,0.0000452381,0.01359425,0.00004639067,0.000151736,0.00001281903,0.00001649951,0.00001456063,0.00001810346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2040765,"threshold_uncertainty_score":0.3663464,"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."}}