{"id":"W2043025047","doi":"10.1088/0031-9155/47/13/305","title":"Optimized treatment planning for prostate cancer comparing IMPT, VHEET and 15 MV IMXT","year":2002,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Proton therapy; Nuclear medicine; Medicine; Prostate cancer; Radiation treatment planning; Intensity (physics); Proton; Intensity modulation; Prostate; Radiation therapy; Cancer; Radiology; Optics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009378031,0.00010835,0.0003816243,0.0000570167,0.00004642647,0.000003116846,0.00001893656,0.00004927383,0.0000317882],"category_scores_gemma":[0.00001993803,0.00007038938,0.00001959849,0.00007817626,0.0001147054,0.00002499005,0.00000819147,0.00006970078,5.396985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002818218,"about_ca_system_score_gemma":0.000009394143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001233221,"about_ca_topic_score_gemma":0.000004809033,"domain_scores_codex":[0.9994436,0.00002228505,0.00016349,0.0001806423,0.00002923969,0.0001607802],"domain_scores_gemma":[0.9996451,0.0001460352,0.0000555997,0.00007202498,0.00001977532,0.00006153145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001616404,0.0003443987,0.6532182,0.0002181311,0.0003838167,0.00001570033,0.0110011,0.0004505742,0.01311444,0.00173104,0.003600467,0.3143058],"study_design_scores_gemma":[0.2039836,0.02447526,0.1647136,0.002283345,0.001541825,0.0001932917,0.005926265,0.4576663,0.01248604,0.02367254,0.1012225,0.001835315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773734,0.01718922,0.0006969433,0.003204086,0.0001416379,0.0005186195,0.00001108624,0.00002311692,0.0008418731],"genre_scores_gemma":[0.9931393,0.004565173,0.0005739644,0.0009985743,0.0004380483,0.00007551345,0.00003836548,0.000008608125,0.0001624097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4885045,"threshold_uncertainty_score":0.2870396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2884880057518966,"score_gpt":0.4350504279140563,"score_spread":0.1465624221621597,"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."}}