{"id":"W2916603544","doi":"10.1177/1533033819831962","title":"Does Interfraction Cone Beam Computed Tomography Improve Target Localization in Prostate Bed Radiotherapy?","year":2019,"lang":"en","type":"article","venue":"Technology in Cancer Research & Treatment","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Interquartile range; Cone beam computed tomography; Nuclear medicine; Image-guided radiation therapy; Medicine; Tomography; Computed tomography; Radiology; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002348083,0.0002275401,0.0003593161,0.001198285,0.00006633982,0.00002713025,0.0002270345,0.0001299731,0.0003368807],"category_scores_gemma":[0.00000297872,0.0001610579,0.00005588866,0.001328467,0.0002361211,0.0001845271,0.00005086236,0.0004621719,0.00000542061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299273,"about_ca_system_score_gemma":0.0001234084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089091,"about_ca_topic_score_gemma":0.0002121398,"domain_scores_codex":[0.9982842,0.0001007364,0.0003103656,0.0005385096,0.0002037725,0.0005624829],"domain_scores_gemma":[0.9992384,0.00007033683,0.0001016889,0.0004381618,0.0001083291,0.00004303458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003464895,0.0009266199,0.7858979,0.00002564078,0.000209427,0.00001295695,0.000555734,0.001613397,0.07796086,0.002171909,0.00008036855,0.1301987],"study_design_scores_gemma":[0.006912897,0.00279611,0.002850736,0.0003008375,0.00001050332,0.000001617383,0.0008612711,0.01267888,0.9124021,0.03800036,0.02263738,0.0005473397],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672273,0.00162295,0.02398337,0.002593881,0.0002451244,0.003739128,0.00007913337,0.0003541922,0.0001549518],"genre_scores_gemma":[0.992457,0.0006942854,0.004418768,0.00002977554,0.00005816473,0.002014487,0.00004850941,0.00004382712,0.0002352271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8344412,"threshold_uncertainty_score":0.6567753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284307599120211,"score_gpt":0.3527349415350716,"score_spread":0.3398918655438695,"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."}}