{"id":"W7005368927","doi":"","title":"RANKL/RANK control Brca1 mutation- .","year":2016,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Agència de Gestió d'Ajuts Universitaris i de Recerca; National Institutes of Health; Canadian Cancer Society Research Institute; Horizon 2020 Framework Programme; National Institute of General Medical Sciences; Cure Brain Cancer Foundation; Ministerio de Economía y Competitividad; Instituto de Salud Carlos III; Amgen; Austrian Science Fund; Universität Wien; Österreichischen Akademie der Wissenschaften; Medizinische Universität Wien; European Regional Development Fund; Breast Cancer Research Foundation","keywords":"Breast cancer; Mammary gland; RANKL; Carcinogenesis; Mutant; Progenitor cell; Cancer","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":[0.0002357329,0.0005074164,0.0003455706,0.000628021,0.0002547525,0.000581278,0.0003894106,0.0004790583,0.006865712],"category_scores_gemma":[0.0001377526,0.0002203806,0.0002517807,0.0002143575,0.0004441703,0.0002709946,0.0002571182,0.001145675,0.002240537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004476242,"about_ca_system_score_gemma":0.0004950202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009294204,"about_ca_topic_score_gemma":0.00180805,"domain_scores_codex":[0.9996883,0.00004085828,0.00002418285,0.00006075072,0.00008685341,0.00009901844],"domain_scores_gemma":[0.9997749,0.0000160063,0.00007234553,0.0000248155,0.00002039115,0.00009159454],"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":[0.0007979238,0.0003556441,0.0004550228,0.0001141976,0.00001028935,0.0001817045,0.00004777636,0.0001274374,0.9865236,0.0008632671,0.001102915,0.009420257],"study_design_scores_gemma":[0.0001580902,0.001026674,0.00383847,0.00001616017,0.00003179978,0.0007651967,0.00006164089,0.0011496,0.9698457,0.0002220201,0.02287045,0.0000143163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653925,0.007485858,0.007264761,0.001403378,0.0004102207,0.0002141937,0.006638817,0.00182023,0.009370008],"genre_scores_gemma":[0.9553429,0.002553173,0.004894813,0.0002768855,0.00007446804,0.0002350836,0.002600307,0.0001804355,0.03384189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006865712,"threshold_uncertainty_score":0.02296811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005443713758122365,"score_gpt":0.2124939010240924,"score_spread":0.20705018726597,"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."}}