{"id":"W2089651469","doi":"10.1118/1.2031001","title":"Po‐Poster ‐ 22: Patient specific quality assurance for helical tomotherapy","year":2005,"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":"Alberta Cancer Foundation","funders":"","keywords":"Tomotherapy; Quality assurance; Dosimeter; Dosimetry; Imaging phantom; Medical physics; Computer science; Radiation treatment planning; Software; Calibration; Image quality; Nuclear medicine; Medicine; Computer vision; Physics; Radiation therapy; Image (mathematics); Radiology","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":[0.002340529,0.0003439788,0.0002361651,0.000460212,0.0006468879,0.001427499,0.0006612159,0.0005002815,0.02358528],"category_scores_gemma":[0.004043207,0.0002591894,0.0003206484,0.000518097,0.0003519679,0.0005179188,0.0007488874,0.0005088673,0.005421729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005759933,"about_ca_system_score_gemma":0.0008973817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006175505,"about_ca_topic_score_gemma":0.0005208093,"domain_scores_codex":[0.9987343,0.0005067234,0.00005886768,0.0001122506,0.0005042563,0.00008368333],"domain_scores_gemma":[0.9983487,0.0003503759,0.0002123565,0.0004111307,0.0005427947,0.0001346724],"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":[0.002592447,0.0003007273,0.02057396,0.0008976483,0.00009402507,0.0004283247,0.0004111196,0.02569906,0.2036849,0.01498046,0.04257489,0.6877625],"study_design_scores_gemma":[0.0005120548,0.00271313,0.0927766,0.0002513728,0.0001847674,0.006228248,0.0001884707,0.1207952,0.4174958,0.01083503,0.3478159,0.0002033863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0740212,0.002346724,0.842929,0.001525131,0.0003601774,0.000977608,0.0008754972,0.01124238,0.06572226],"genre_scores_gemma":[0.6831689,0.0008720974,0.2905814,0.000488075,0.0001948287,0.0004828767,0.001721404,0.00223746,0.02025312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02358528,"threshold_uncertainty_score":0.07890064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017946685335615,"score_gpt":0.3232347077830699,"score_spread":0.3052880224474549,"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."}}