{"id":"W2049834562","doi":"10.1118/1.4735660","title":"SU-E-T-571: Prostate IMRT QA: Prediction of the Range of Rectal NTCP Using a 2D Field Approach Based on Variations of the Rectal Wall Motion and Thickness","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital","funders":"","keywords":"Prostate; Medicine; Dosimetry; Radiation therapy; Rectum; Nuclear medicine; Radiation treatment planning; Radiology; Surgery; Internal medicine; Cancer","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":[0.0003199345,0.0003840694,0.0002410316,0.0005953798,0.00008934099,0.000449837,0.0002167909,0.0003856625,0.001587872],"category_scores_gemma":[0.001023199,0.0002127524,0.0004281152,0.0002943352,0.0001338256,0.0002283083,0.0001633343,0.0001752827,0.0004788493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005062683,"about_ca_system_score_gemma":0.0002898139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004155279,"about_ca_topic_score_gemma":0.00235906,"domain_scores_codex":[0.9998882,0.0000358883,0.0000046707,0.00002440331,0.00003850297,0.000008398019],"domain_scores_gemma":[0.9997153,0.0001402031,0.00004848092,0.00002636314,0.00005490382,0.00001467932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001745669,0.00003578113,0.008330028,0.0000570466,0.00003097431,0.00004558703,0.00001709975,0.9496898,0.01219824,0.0003437148,0.0005201387,0.02855706],"study_design_scores_gemma":[0.000004546808,0.0000351218,0.003768402,0.000002564277,0.000004627268,0.00004733624,0.000002689149,0.9938588,0.001989465,0.000110893,0.0001694523,0.00000615611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4072309,0.000542983,0.5840498,0.0001263552,0.00003770167,0.00008781012,0.0007714019,0.002245825,0.00490712],"genre_scores_gemma":[0.9647635,0.00007703715,0.03361336,0.00002743509,0.000007630563,0.00003290164,0.0003409702,0.00009391641,0.001043258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004155279,"threshold_uncertainty_score":0.008262157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277388457870209,"score_gpt":0.2627171033771568,"score_spread":0.2349782575901359,"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."}}