{"id":"W2889540146","doi":"10.1016/j.canlet.2018.08.016","title":"Selectively targeting the dimerization interface of human androgen receptor with small-molecules to treat castration-resistant prostate cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Letters","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute","keywords":"Androgen receptor; Prostate cancer; Transcription factor; Cancer research; Small molecule; Androgen; Virtual screening; Chemistry; Biology; Cell biology; Cancer; Gene; Hormone; Drug discovery; Bioinformatics; Endocrinology; Biochemistry; Genetics","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":[0.00009137,0.0001620246,0.0002003082,0.0000757516,0.0001994729,0.00002886202,0.00009702753,0.00003027418,0.0001362927],"category_scores_gemma":[0.00001315305,0.00009592361,0.00003614392,0.0003890604,0.0002528953,0.00005827923,0.00002538263,0.0001096272,0.000006538646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994465,"about_ca_system_score_gemma":0.0002204725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055576,"about_ca_topic_score_gemma":0.0005048909,"domain_scores_codex":[0.9989486,0.00005004646,0.0001891009,0.0002913531,0.0002297324,0.0002911598],"domain_scores_gemma":[0.9993402,0.00002047504,0.0001020324,0.0001655496,0.000274569,0.00009718287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00140668,0.00003258402,0.01356431,0.00008878842,0.0001570735,0.000005787706,0.003903641,0.00009029922,0.97513,0.000009870822,0.003561683,0.00204932],"study_design_scores_gemma":[0.001406078,0.0009948263,0.005411948,0.000353608,0.00011954,0.000002155485,0.0004051672,0.00003685921,0.9884848,0.000003194717,0.002635414,0.0001464035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855618,0.0008340542,0.0003972496,0.01180609,0.00007761205,0.0009637119,0.00006130007,0.00002975089,0.0002684349],"genre_scores_gemma":[0.9968777,0.0001176494,0.0005771006,0.0008954525,0.0002517841,0.0003696407,0.00003731136,0.00003610432,0.0008372195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01335485,"threshold_uncertainty_score":0.3911651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251441419066614,"score_gpt":0.325104765995248,"score_spread":0.2999606240885865,"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."}}