{"id":"W2036178624","doi":"10.1118/1.2244689","title":"Sci‐Sat AM (1) General‐02: Experiences with the Quality Assurance Testing of the Restitu Ultrasound System","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imaging phantom; Quality assurance; Nuclear medicine; Calibration; Medical physics; Computer science; Medical imaging; Standard deviation; Dosimetry; Linear particle accelerator; Medicine; Physics; Artificial intelligence; Beam (structure); Optics; Mathematics; Statistics","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":[0.01583684,0.0008657752,0.0003162764,0.0009987102,0.002551802,0.001632029,0.001976487,0.001342235,0.01607527],"category_scores_gemma":[0.009439477,0.0004756772,0.0005546049,0.001172788,0.001737869,0.001005002,0.002234304,0.0017117,0.006317351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134341,"about_ca_system_score_gemma":0.001926036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238297,"about_ca_topic_score_gemma":0.01580227,"domain_scores_codex":[0.9944124,0.002886939,0.0001799549,0.0005165532,0.001527616,0.0004765392],"domain_scores_gemma":[0.9899637,0.00231083,0.0002453515,0.001060918,0.004426601,0.001992658],"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":[0.003301306,0.009200101,0.04658783,0.0005644881,0.00009963026,0.002894403,0.02899957,0.006698282,0.06860687,0.004297222,0.05657725,0.772173],"study_design_scores_gemma":[0.0009843291,0.04589436,0.1624841,0.0002581456,0.0001596122,0.006425575,0.01517567,0.01596764,0.11738,0.002690832,0.6322374,0.0003423494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7943748,0.001368833,0.04174714,0.00476356,0.0007292578,0.001440999,0.0009667677,0.002082627,0.1525261],"genre_scores_gemma":[0.823968,0.001587152,0.03858874,0.00245071,0.0009100538,0.00053183,0.002503557,0.002058604,0.1274014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607527,"threshold_uncertainty_score":0.08375424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491239039744799,"score_gpt":0.289668774375024,"score_spread":0.274756383977576,"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."}}