{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001485103,0.0002696331,0.0002321478,0.0001051965,0.00008094191,0.0004168169,0.0004417917,0.0001940606,0.000503291],"category_scores_gemma":[0.000384329,0.0001979469,0.000272572,0.0001863022,0.0001318594,0.0001653274,0.0001620511,0.0001191835,0.001284133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001349778,"about_ca_system_score_gemma":0.0000714444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001212986,"about_ca_topic_score_gemma":0.0000012267,"domain_scores_codex":[0.9984037,0.0000797981,0.0003750796,0.000539118,0.0002297144,0.0003726058],"domain_scores_gemma":[0.9989345,0.00006311143,0.0001243073,0.0006040767,0.00006775229,0.0002062496],"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":[0.0006581609,0.0003946085,0.1322969,0.00004269735,0.0004916055,0.0001281104,0.000008184184,0.000003630293,0.690003,0.0005508774,0.08001201,0.09541021],"study_design_scores_gemma":[0.001569023,0.0001601606,0.001964264,0.00003594383,0.00004247991,0.00002770022,0.000005038349,0.00001020883,0.4991588,0.00278451,0.4937863,0.0004555333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077524,0.0009863704,0.03661454,0.002477553,0.00007034333,0.0006676086,0.001961148,0.0006067307,0.04886331],"genre_scores_gemma":[0.9924852,0.00006586298,0.0005769247,0.001285978,0.0002373565,0.00003943394,0.00066675,0.0000779321,0.00456458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137743,"threshold_uncertainty_score":0.9994935,"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."}}