{"id":"W1980524353","doi":"10.1371/journal.pone.0113190","title":"Proteomic-Coupled-Network Analysis of T877A-Androgen Receptor Interactomes Can Predict Clinical Prostate Cancer Outcomes between White (Non-Hispanic) and African-American Groups","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Institute for Research in Immunology and Cancer; Jewish General Hospital; Université de Montréal; Biotechnology Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Androgen receptor; Biology; Prostate cancer; Population; Interactome; Cancer research; Androgen; Testosterone (patch); Dihydrotestosterone; Cancer; Internal medicine; Endocrinology; Hormone; Medicine; Genetics; Gene","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":[0.0002208236,0.0003144967,0.0003290473,0.001901827,0.0003779716,0.0004967189,0.0002009756,0.0002501512,0.001074795],"category_scores_gemma":[0.0005413043,0.0001062022,0.0006349134,0.001468927,0.0001635174,0.0003296866,0.0004034354,0.0002420541,0.0002188342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004009351,"about_ca_system_score_gemma":0.0002470467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00382705,"about_ca_topic_score_gemma":0.005816435,"domain_scores_codex":[0.9998078,0.0000316372,0.00001245617,0.00007763931,0.00003029369,0.00004023659],"domain_scores_gemma":[0.9997912,0.00006731922,0.00007166763,0.00001099955,0.00003173391,0.00002719569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001743453,0.0004667868,0.5607231,0.001162222,0.001838928,0.0009233737,0.0006527954,0.02757519,0.3141352,0.002550987,0.003407444,0.08482047],"study_design_scores_gemma":[0.00001574885,0.0002485368,0.8493435,0.00004494477,0.0004178083,0.0007350664,0.0005904161,0.1279103,0.01239679,0.003766888,0.004490535,0.00003955788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833643,0.001062556,0.007666081,0.0002172354,0.00001327826,0.00003829755,0.006209821,0.0001259027,0.001302492],"genre_scores_gemma":[0.9832768,0.0006451276,0.005880399,0.00005985498,0.0000153683,0.00007825568,0.009276624,0.00001529107,0.0007523053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00382705,"threshold_uncertainty_score":0.007609546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813437470198347,"score_gpt":0.3377659520673173,"score_spread":0.2896315773653338,"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."}}