{"id":"W4378349117","doi":"10.3390/curroncol30050372","title":"Radiomics and Radiogenomics in Pelvic Oncology: Current Applications and Future Directions","year":2023,"lang":"en","type":"review","venue":"Current Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiogenomics; Radiomics; Medicine; Precision medicine; Medical physics; Bioinformatics; Intensive care medicine; Internal medicine; Pathology; Radiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01709259,0.0008799135,0.001806944,0.002443319,0.0006614903,0.004155845,0.001819695,0.004608441,0.007616098],"category_scores_gemma":[0.02173125,0.0005309329,0.001163293,0.003174241,0.005252718,0.007884327,0.003037871,0.004445314,0.002003868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237078,"about_ca_system_score_gemma":0.006400994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962667,"about_ca_topic_score_gemma":0.002818572,"domain_scores_codex":[0.9955628,0.002329699,0.0004190512,0.0006022103,0.000833853,0.0002524397],"domain_scores_gemma":[0.9554338,0.0351004,0.002024147,0.001183176,0.004950522,0.001307818],"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":[0.0003105284,0.0001396647,0.004091572,0.009314941,0.0001694753,0.0001922681,0.0005052304,0.001222754,0.001054712,0.03509557,0.02885466,0.9190486],"study_design_scores_gemma":[0.00007836523,0.0005891934,0.008171638,0.01750756,0.0003691789,0.001714047,0.001821426,0.002743844,0.001272231,0.1264051,0.8391088,0.0002187065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009003752,0.9580047,0.004145204,0.0333016,0.001032372,0.00002439676,0.00007594544,0.00006367496,0.002451697],"genre_scores_gemma":[0.01485579,0.961942,0.008714995,0.008709528,0.004734762,0.0001041968,0.0001450188,0.00004047831,0.0007532804],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01709259,"threshold_uncertainty_score":0.09039533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040393706257472,"score_gpt":0.4646348769699741,"score_spread":0.3605955063442269,"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."}}