{"id":"W2028795421","doi":"10.1118/1.1997459","title":"SU‐EE‐A3‐01: Evaluation of Image‐Guided Radiation Therapy (IGRT) Technology and Their Impact On the Outcome of Hypofractionated Prostate Cancer Treatments: A Radiobiological Analysis","year":2005,"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":"London Health Sciences Centre","funders":"","keywords":"Image-guided radiation therapy; Medicine; Prostate cancer; Prostate; Nuclear medicine; Radiation therapy; Margin (machine learning); Dosimetry; Radiation treatment planning; Radiology; Medical physics; Cancer; Computer science; Internal medicine","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":[0.0006862996,0.0002363432,0.0002028877,0.000230106,0.00008860438,0.0002384535,0.0002362263,0.000259222,0.0006439105],"category_scores_gemma":[0.001306088,0.00008711137,0.0002825643,0.0002830542,0.0002523951,0.000160532,0.000101291,0.0002107649,0.0001230805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885366,"about_ca_system_score_gemma":0.0001514625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001335693,"about_ca_topic_score_gemma":0.0006872713,"domain_scores_codex":[0.9997587,0.00007256997,0.0000122291,0.00002794624,0.0001057515,0.00002287205],"domain_scores_gemma":[0.9994189,0.0002208258,0.000143787,0.00007060468,0.00009794826,0.00004800575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01369078,0.001663084,0.3381436,0.0004480385,0.0004316795,0.0005356727,0.0002283171,0.07956907,0.4211766,0.0005561529,0.0006743729,0.1428827],"study_design_scores_gemma":[0.0003448788,0.01848264,0.6213562,0.00001314349,0.0003339358,0.002214609,0.0001021974,0.1115173,0.2436575,0.0002510777,0.001685233,0.000041287],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978505,0.0001734026,0.001558867,0.000006937309,0.000001763074,0.000008468576,0.00006144811,0.00003269085,0.0003059893],"genre_scores_gemma":[0.9990583,0.00003006002,0.0006709083,0.000005507904,0.000001770031,0.000006259579,0.0001145478,0.0000116714,0.000101039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001335693,"threshold_uncertainty_score":0.003629565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743544196142414,"score_gpt":0.3728058076960327,"score_spread":0.3453703657346085,"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."}}