{"id":"W281743858","doi":"10.21236/ada608859","title":"Targeting Master Regulators of the Breast Cancer Metastasis Transcriptome","year":2014,"lang":"en","type":"report","venue":"","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; NIH Clinical Center; National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center; Elsa U. Pardee Foundation; Congressionally Directed Medical Research Programs; Avon Foundation for Women; Division of Materials Research; Howard Hughes Medical Institute; U.S. Department of Defense","keywords":"Transcriptome; Breast cancer metastasis; Breast cancer; Metastasis; Master regulator; Computational biology; Biology; Cancer research; Cancer metastasis; Oncology; Cancer; Medicine; Internal medicine; Genetics; Gene; Gene expression; Transcription factor","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":[0.0003264709,0.000250313,0.0003473915,0.0002189169,0.0002795466,0.0005670424,0.0001967942,0.0001666606,0.001899773],"category_scores_gemma":[0.0002024124,0.000165739,0.0002663395,0.0001699327,0.0001631085,0.0003485102,0.0003519581,0.0006599149,0.0007903245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014571,"about_ca_system_score_gemma":0.000499715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005873184,"about_ca_topic_score_gemma":0.001702447,"domain_scores_codex":[0.9998005,0.00002716043,0.000009378073,0.000042416,0.00007103994,0.00004953266],"domain_scores_gemma":[0.9998783,0.00002397795,0.00002609184,0.00001714209,0.00002716218,0.00002735306],"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":[0.00003417744,0.00001549675,0.0004152046,0.00004989709,0.000003886276,0.00001956174,0.00001292357,0.0001165205,0.9950345,0.0002331384,0.0002714678,0.00379322],"study_design_scores_gemma":[0.00001016401,0.00009242936,0.006104889,0.00001048709,0.00002069494,0.0001021011,0.00004735195,0.001567264,0.977788,0.0001984929,0.01405222,0.000005847071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006677,0.01746018,0.0605327,0.001995374,0.0002638065,0.0002160612,0.003785964,0.001056168,0.014022],"genre_scores_gemma":[0.9239686,0.01039935,0.04608528,0.0006181454,0.00009496071,0.0002220107,0.006554776,0.0002863411,0.01177062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001899773,"threshold_uncertainty_score":0.006355405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599349356036615,"score_gpt":0.261902596907422,"score_spread":0.2459091033470558,"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."}}