{"id":"W4401779089","doi":"10.1158/2767-9764.crc-24-0292","title":"The Proteogenomics of Prostate Cancer Radioresistance","year":2024,"lang":"en","type":"article","venue":"Cancer Research Communications","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"U.S. National Library of Medicine; Instituto Tecnológico de Costa Rica; National Cancer Institute; National Medical Research Council; University of Toronto; Prostate Cancer Canada; Medical Research Council; Duke-NUS Medical School; Prostate Cancer Foundation; Movember Foundation; National Institutes of Health; Cancer Research UK; Sunnybrook Foundation; U.S. Department of Defense","keywords":"Proteogenomics; Radioresistance; Prostate cancer; Prostate; Cancer; Medicine; Oncology; Cancer research; Internal medicine; Biology; Radiation therapy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007871251,0.00009699509,0.0001685838,0.0001046373,0.0005024594,0.00008980071,0.0005524628,0.00003690334,0.0000640775],"category_scores_gemma":[0.00009471826,0.00006290741,0.0000856146,0.0007145725,0.0008507177,0.00007217333,0.000246731,0.0004750592,0.00001781411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007899232,"about_ca_system_score_gemma":0.001619167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008358185,"about_ca_topic_score_gemma":0.0009572788,"domain_scores_codex":[0.998621,0.0001615262,0.0002675934,0.0002155956,0.0003944822,0.0003398117],"domain_scores_gemma":[0.9971327,0.0005841942,0.00004364231,0.001574855,0.0005465582,0.0001180892],"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":[0.0008080913,0.0007144912,0.03710807,0.001892389,0.001758292,0.00004217209,0.006047238,0.00006989611,0.02128466,0.1342811,0.08790275,0.7080908],"study_design_scores_gemma":[0.0004824619,0.0001762461,0.007998296,0.001455495,0.00008492658,0.000004707533,0.0002980251,0.0006560811,0.01429536,0.001926107,0.9725252,0.00009711192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1231537,0.7446418,0.0000148167,0.1214789,0.0002388734,0.003422528,0.0004553098,0.00009643092,0.006497671],"genre_scores_gemma":[0.662376,0.3278621,0.0002972282,0.00005205329,0.00006666342,0.005923037,0.00001902149,0.00002671974,0.003377147],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8846225,"threshold_uncertainty_score":0.3864563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139585240735961,"score_gpt":0.4760939703665962,"score_spread":0.3365087296306353,"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."}}