{"id":"W4200579708","doi":"10.1080/24699322.2021.1994014","title":"Radiomics in surgical oncology: applications and challenges","year":2021,"lang":"en","type":"review","venue":"Computer Assisted Surgery","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Radiomics; Medicine; Neoadjuvant therapy; Clinical trial; Oncology; Precision medicine; Personalized medicine; Adjuvant; Medical physics; Internal medicine; Cancer; Radiology; Bioinformatics; Pathology; Breast 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":[0.001857191,0.0006785742,0.001326274,0.002528799,0.0003634618,0.001806007,0.001059845,0.001877916,0.003409887],"category_scores_gemma":[0.002689157,0.000365437,0.0007160341,0.003194827,0.001458106,0.002683175,0.0009765076,0.002881919,0.001993656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008981786,"about_ca_system_score_gemma":0.002096238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626562,"about_ca_topic_score_gemma":0.002283712,"domain_scores_codex":[0.9993456,0.0001847487,0.00009943316,0.00008330603,0.0002432873,0.00004354025],"domain_scores_gemma":[0.9974058,0.001760126,0.0001750652,0.00007255816,0.0005079204,0.00007850543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003236654,0.00003918089,0.0002641087,0.01270963,0.00005310338,0.0001150347,0.0001137503,0.0004441985,0.0006054948,0.008834342,0.02127868,0.9555101],"study_design_scores_gemma":[0.000008628349,0.00007229735,0.0009965441,0.007228721,0.0000682469,0.001523386,0.0001676806,0.0001840027,0.0002888614,0.005402939,0.9840301,0.00002861968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009885182,0.9975359,0.0002346729,0.0007495694,0.000257725,0.000003665495,0.000009692909,0.000007871417,0.001101966],"genre_scores_gemma":[0.0008680939,0.9976076,0.0003789256,0.000410973,0.0003522364,0.000006288336,0.00001839016,0.000003401718,0.0003541659],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003409887,"threshold_uncertainty_score":0.0114072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09936091144498894,"score_gpt":0.3743476720064822,"score_spread":0.2749867605614932,"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."}}