{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001455544,0.0001560286,0.0001931962,0.0001212369,0.0001291413,0.0001716236,0.0002136395,0.0001754188,0.001277238],"category_scores_gemma":[0.00008422375,0.00009540499,0.0001952594,0.0001129794,0.0001965526,0.00008385407,0.0001460393,0.0003381922,0.0005057987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002111146,"about_ca_system_score_gemma":0.0001728835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006130797,"about_ca_topic_score_gemma":0.001105668,"domain_scores_codex":[0.9999186,0.00001650407,0.000009009758,0.00001092983,0.0000303178,0.00001458873],"domain_scores_gemma":[0.9999601,0.000005670612,0.00001435546,0.000005654012,0.000004522403,0.000009756037],"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":[0.00008317154,0.00001760838,0.0001405911,0.00001808786,0.000007239702,0.00005147986,0.000007200879,0.00008230068,0.9975,0.0001480578,0.00009418774,0.001850072],"study_design_scores_gemma":[0.00004432836,0.0001698144,0.001386366,0.000003470828,0.00001215478,0.0003758117,0.00001678737,0.001008381,0.9876731,0.00005597461,0.009250189,0.000003648687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908475,0.001393483,0.004811517,0.0003850324,0.00006195374,0.00002910905,0.0004245866,0.0001484989,0.001898289],"genre_scores_gemma":[0.9930874,0.0007135085,0.003008075,0.00009490828,0.000008882288,0.00001726072,0.0003834398,0.00003140704,0.002655104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001277238,"threshold_uncertainty_score":0.004272759,"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."}}