{"id":"W2937061225","doi":"10.1620/tjem.247.223","title":"Precision Radiotherapy and Radiation Risk Assessment: How Do We Overcome Radiogenomic Diversity?","year":2019,"lang":"en","type":"review","venue":"The Tohoku Journal of Experimental Medicine","topic":"Effects of Radiation Exposure","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"Ichiro Kanehara Foundation for the Promotion of Medical Sciences and Medical Care; Marubun Research Promotion Foundation; Research Promotion Foundation; Mitsukoshi Health and Welfare Foundation","keywords":"Precision medicine; Radiation therapy; Personalized medicine; Medicine; Radiogenomics; Medical physics; Risk assessment; Population; Risk analysis (engineering); Biobank; Bioinformatics; Computer science; Environmental health; Pathology; Internal medicine; Radiology; Biology; Radiomics","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":[0.006690294,0.001003487,0.002997223,0.002925097,0.0005091575,0.002959662,0.002115818,0.003893774,0.002197674],"category_scores_gemma":[0.01195684,0.000520235,0.001400294,0.002567242,0.003564726,0.005121991,0.001836441,0.004938147,0.0008694233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002360035,"about_ca_system_score_gemma":0.004174116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003400134,"about_ca_topic_score_gemma":0.003440578,"domain_scores_codex":[0.9969801,0.001310377,0.0003284746,0.0003845185,0.0008989191,0.00009750401],"domain_scores_gemma":[0.9910699,0.00677376,0.000578181,0.0002793744,0.001137829,0.0001609329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000651077,0.00004781592,0.001044892,0.02047177,0.0004909634,0.0002784218,0.0004140651,0.002471993,0.000897193,0.05393325,0.01980199,0.9000825],"study_design_scores_gemma":[0.00003262982,0.0001792861,0.002744784,0.01733618,0.0005933436,0.002991768,0.0007995561,0.001254893,0.00116909,0.1002359,0.8725269,0.0001356054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001982836,0.9882876,0.003011143,0.006853957,0.0005473894,0.000007608974,0.00001767406,0.00001704418,0.001059284],"genre_scores_gemma":[0.005242532,0.9868504,0.003436151,0.002731928,0.001198689,0.00002635839,0.00003076827,0.00001451697,0.0004687399],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006690294,"threshold_uncertainty_score":0.03538209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375560399400891,"score_gpt":0.3657687428589053,"score_spread":0.3320131388648964,"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."}}