{"id":"W2917800338","doi":"10.2147/dddt.s180836","title":"<p>siRNA-based breast cancer therapy by suppressing 17β-hydroxysteroid dehydrogenase type 1 in an optimized xenograft cell and molecular biology model in vivo</p>","year":2019,"lang":"en","type":"article","venue":"Drug Design Development and Therapy","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Shanghai Institute Of Planned Parenthood Research; Shanghai Municipal Health and Family Planning Commission; Science and Technology Commission of Shanghai Municipality","keywords":"In vivo; Gene knockdown; Gene silencing; Estrone; Chemistry; Cancer research; Cell growth; Small interfering RNA; Breast cancer; Pharmacology; Cancer; Biology; Apoptosis; Medicine; Internal medicine; Biochemistry; Hormone; RNA; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004046677,0.0004009266,0.0003834133,0.0001616148,0.00008130764,0.00005847329,0.0001959441,0.0003355868,0.00003448415],"category_scores_gemma":[0.000002045684,0.000340686,0.00005117048,0.000176986,0.00008704962,0.00002041118,0.00004413407,0.0001660093,0.000003038924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003095492,"about_ca_system_score_gemma":0.0002310102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001275397,"about_ca_topic_score_gemma":0.00001786859,"domain_scores_codex":[0.9980863,0.0002962775,0.0003447948,0.0006593656,0.0001291138,0.0004841829],"domain_scores_gemma":[0.999368,0.00002902879,0.0001131401,0.0002809437,0.00005282978,0.0001560847],"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":[0.001383556,0.0002152785,0.003356693,0.00001506829,0.00007351713,0.000008312056,0.0004176431,0.004062655,0.9871271,0.000004015112,0.0002571277,0.003079039],"study_design_scores_gemma":[0.006571938,0.0002153216,0.0001429803,0.00004871172,0.000008044996,0.000008743108,0.00001173585,0.01239916,0.9761057,0.0000333315,0.003907507,0.0005468052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690453,0.02773677,0.002262024,0.00009601309,0.00006427794,0.0006816342,0.00001867838,0.00002082741,0.00007448191],"genre_scores_gemma":[0.9859928,0.006421754,0.006429308,0.0004706566,0.00001954555,0.00009057095,0.0002009414,0.00006385019,0.0003106036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131502,"threshold_uncertainty_score":0.9999045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032519956190205,"score_gpt":0.243286751801742,"score_spread":0.23296155223984,"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."}}