{"id":"W2949512680","doi":"10.7554/elife.37161","title":"The SERM/SERD bazedoxifene disrupts ESR1 helix 12 to overcome acquired hormone resistance in breast cancer cells","year":2018,"lang":"en","type":"article","venue":"eLife","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; Susan G. Komen; Virginia and D.K. Ludwig Fund for Cancer Research; Breast Cancer Research Foundation; U.S. Department of Defense; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Selective estrogen receptor modulator; Breast cancer; Cancer research; Computational biology; Biology; Cancer; Estrogen receptor; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002551524,0.0002107165,0.000172428,0.00003695132,0.0001947041,0.0000440985,0.000326991,0.0002071292,0.00001597255],"category_scores_gemma":[0.00002617017,0.0001543545,0.00008124258,0.0001970218,0.0001345014,0.0000064326,0.0001746537,0.0001073106,0.0001013668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004561617,"about_ca_system_score_gemma":0.00007948549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009777545,"about_ca_topic_score_gemma":0.0007121067,"domain_scores_codex":[0.9985611,0.00008892431,0.0002443749,0.0004038072,0.0002212603,0.0004804817],"domain_scores_gemma":[0.9991508,0.00002204446,0.00006971309,0.000500704,0.00007476415,0.0001819888],"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":[0.0008116412,0.00005267571,0.0009533166,0.000008757947,0.00005319991,0.00001211497,0.0001504689,0.0000162229,0.9630186,0.00004722314,0.03411137,0.0007643927],"study_design_scores_gemma":[0.001131534,0.0002862286,0.07020386,0.00007077584,0.00002290704,0.00001355567,0.0000554302,0.00003423695,0.821529,0.00002744876,0.1062102,0.0004148456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898973,0.006575575,0.00003837048,0.001524589,0.000436257,0.0003026492,0.00006179543,0.00002133868,0.001142094],"genre_scores_gemma":[0.9925036,0.002448375,0.0001887718,0.001072882,0.0007385795,0.0000643436,0.00002173429,0.00003878343,0.00292288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1414896,"threshold_uncertainty_score":0.6294392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004552541169207518,"score_gpt":0.2475861252134973,"score_spread":0.2430335840442898,"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."}}