{"id":"W1982760066","doi":"10.1118/1.4894879","title":"Poster — Thur Eve — 23: Dose and Position Quality Assurance using the RADPOS System for 4D Radiotherapy with CyberKnife","year":2014,"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":"Carleton University; Ottawa Hospital","funders":"","keywords":"Cyberknife; Imaging phantom; Dosimeter; Quality assurance; Nuclear medicine; Fiducial marker; Dosimetry; Radiation treatment planning; Radiation therapy; Dose profile; Materials science; Medicine; Computer science; Physics; Radiosurgery; 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":[0.001165719,0.000711193,0.0002940648,0.0008164599,0.000518796,0.001377554,0.0007715178,0.0008045167,0.06722241],"category_scores_gemma":[0.0007380898,0.0003219281,0.0005790662,0.0003107482,0.0003852307,0.0005033315,0.001091221,0.0009323885,0.01690385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008042077,"about_ca_system_score_gemma":0.0006497533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005420971,"about_ca_topic_score_gemma":0.0007284988,"domain_scores_codex":[0.9994206,0.0001114969,0.00003258035,0.0001081217,0.0002791452,0.00004813434],"domain_scores_gemma":[0.9996223,0.00004772595,0.00004005689,0.00006996653,0.0001448868,0.00007502162],"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":[0.002122426,0.0003368698,0.005796826,0.001304591,0.0001178289,0.001302914,0.0005494009,0.005035928,0.2435017,0.004531946,0.184617,0.5507826],"study_design_scores_gemma":[0.000227068,0.001538326,0.02729159,0.0002162711,0.00009251517,0.004202776,0.0001271623,0.00882119,0.2612667,0.001627356,0.6944369,0.0001521852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1723703,0.01221221,0.3486261,0.006526674,0.009702109,0.002579845,0.007546623,0.01876422,0.4216718],"genre_scores_gemma":[0.4245763,0.003856806,0.1210015,0.0009166051,0.002171026,0.0005789989,0.007302957,0.003411566,0.4361844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06722241,"threshold_uncertainty_score":0.2248814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342674079452287,"score_gpt":0.3062439192890507,"score_spread":0.2928171784945278,"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."}}