{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002519466,0.00025867,0.000294952,0.0005979759,0.0002376423,0.0005956741,0.0001234069,0.0002400517,0.000592013],"category_scores_gemma":[0.0002391755,0.000128172,0.0002892469,0.0005936188,0.0002065306,0.0002611789,0.0002854156,0.0004248807,0.000248325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747154,"about_ca_system_score_gemma":0.0002473043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290637,"about_ca_topic_score_gemma":0.0005672854,"domain_scores_codex":[0.9998792,0.00002082491,0.000006608837,0.00003737184,0.00003491793,0.00002106248],"domain_scores_gemma":[0.9998935,0.00001576973,0.00004208626,0.00001112858,0.00002285728,0.00001455149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001584094,0.00003446798,0.009270882,0.0002269866,0.00009199986,0.0001296023,0.00008056422,0.0004971322,0.9757463,0.0004408335,0.0005428144,0.01278006],"study_design_scores_gemma":[0.0000336025,0.0004866466,0.6003076,0.00008460195,0.0002537987,0.002355218,0.0004428676,0.009900792,0.3583867,0.004024115,0.02364843,0.00007563266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704137,0.0142695,0.008791596,0.0008124816,0.00006175022,0.00005177163,0.003522249,0.0001766409,0.001900361],"genre_scores_gemma":[0.9840329,0.005624338,0.004382311,0.0003609087,0.00004156794,0.00004276439,0.00376959,0.00003268872,0.00171293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005979759,"threshold_uncertainty_score":0.001993239,"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."}}