{"id":"W1989443017","doi":"10.1118/1.2241906","title":"TH‐D‐ValB‐05: Evaluation of Image Quality in Megavoltage Digital Tomosynthesis","year":2006,"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":"Université Laval","funders":"","keywords":"Tomosynthesis; Imaging phantom; Image quality; Distortion (music); Nuclear medicine; Digital radiography; Iterative reconstruction; Medical imaging; Optics; Computer science; Computer vision; Medicine; Radiography; Artificial intelligence; Physics; Radiology; Image (mathematics); Mammography; Bandwidth (computing)","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":[0.001107811,0.0003196903,0.000226696,0.0009422986,0.0000911981,0.0005776528,0.0003795345,0.0005307437,0.001865114],"category_scores_gemma":[0.00272952,0.0002290874,0.0002301137,0.0003965593,0.0003183715,0.0002561221,0.0003265703,0.0002350361,0.0003699918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002658604,"about_ca_system_score_gemma":0.000131387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007643991,"about_ca_topic_score_gemma":0.0005705683,"domain_scores_codex":[0.9995431,0.0001428481,0.00002331264,0.00006864787,0.0001965117,0.00002567467],"domain_scores_gemma":[0.9987926,0.00054708,0.0002056712,0.00009899845,0.0002447535,0.0001108705],"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":[0.007638708,0.0003908464,0.1209338,0.0008536435,0.000294842,0.001007246,0.000230218,0.008225898,0.6966794,0.0002832451,0.0005102133,0.162952],"study_design_scores_gemma":[0.0002449486,0.006642223,0.3920189,0.00007291063,0.0003881728,0.01447173,0.0001431758,0.04222429,0.5398087,0.000205731,0.003693624,0.00008570324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725562,0.004558189,0.01971244,0.00007803923,0.00002049813,0.00006620855,0.0003896261,0.0003142541,0.002304364],"genre_scores_gemma":[0.9870059,0.0004924178,0.01117572,0.00002960066,0.00001583639,0.00001846033,0.0005482599,0.0001016565,0.0006119795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001865114,"threshold_uncertainty_score":0.006239414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178244166056653,"score_gpt":0.3339001176013073,"score_spread":0.316075700995642,"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."}}