{"id":"W4379333134","doi":"10.1200/jco.2023.41.16_suppl.5001","title":"Development and validation of an AI-derived digital pathology-based biomarker to predict benefit of long-term androgen deprivation therapy with radiotherapy in men with localized high-risk prostate cancer across multiple phase III NRG/RTOG trials.","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital","funders":"","keywords":"Medicine; Prostate cancer; Biomarker; Oncology; Radiation therapy; Androgen deprivation therapy; Internal medicine; Randomized controlled trial; Cumulative incidence; Biopsy; Cancer; Cohort","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":[0.0108496,0.0004849556,0.0005057792,0.0008277028,0.0001509206,0.0008454649,0.0006385433,0.0005222711,0.0005713897],"category_scores_gemma":[0.01662747,0.0001932944,0.0007812801,0.0005237507,0.0003851973,0.0004831398,0.0005152873,0.0006804888,0.0002080879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006897358,"about_ca_system_score_gemma":0.001004869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009451516,"about_ca_topic_score_gemma":0.001012855,"domain_scores_codex":[0.998108,0.001021339,0.0001659214,0.0002699089,0.0003567132,0.00007810553],"domain_scores_gemma":[0.9930094,0.003158503,0.002006463,0.0004946152,0.001004976,0.0003260069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01646632,0.002327375,0.6847749,0.0004752214,0.002058209,0.00008497926,0.0002071729,0.03921241,0.01718626,0.0006440543,0.00255938,0.2340037],"study_design_scores_gemma":[0.004673974,0.03041648,0.6547087,0.0001804696,0.002557801,0.000622642,0.0001421869,0.2632819,0.03174346,0.002083149,0.009468256,0.0001210037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792149,0.001840978,0.01387529,0.0003919445,0.00005330833,0.001064899,0.001541487,0.00021789,0.001799354],"genre_scores_gemma":[0.9839754,0.0001536967,0.01367773,0.0001618274,0.0000200559,0.0004244812,0.001330089,0.000009803349,0.0002469723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108496,"threshold_uncertainty_score":0.05737883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611430162671936,"score_gpt":0.4499989975432892,"score_spread":0.3838846959165698,"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."}}