{"id":"W4281824594","doi":"10.1016/j.dib.2022.108328","title":"Data on mammary gland microRNAs expression, their predicted gene targets and corresponding pathway analysis in female mice receiving flaxseed or its oil and secoisolariciresinol diglucoside components","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"microRNA; Gene expression; Gene expression profiling; KEGG; Biology; Breast cancer; Gene; Mammary gland; Internal medicine; Bioinformatics; Computational biology; Endocrinology; Cancer; Medicine; Genetics; Transcriptome","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005922689,0.0002091448,0.0002687029,0.000268496,0.0001565403,0.0000720382,0.0008603687,0.000100133,0.0000391286],"category_scores_gemma":[0.0002558184,0.0002010316,0.00002127595,0.0004464422,0.00004084957,0.00005240684,0.003214656,0.0001841132,5.618911e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004217486,"about_ca_system_score_gemma":0.00007805049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001362379,"about_ca_topic_score_gemma":0.000437908,"domain_scores_codex":[0.99786,0.0003451293,0.0003655148,0.0009789119,0.0001778359,0.0002725699],"domain_scores_gemma":[0.9982045,0.00008535639,0.0001694481,0.001422702,0.00002529672,0.00009272497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007174182,0.0001495081,0.05554052,0.00005985056,0.0001158169,0.0000636669,0.0001205544,0.0001659526,0.9410744,7.731644e-7,0.0009170648,0.001074484],"study_design_scores_gemma":[0.002408377,0.0001120876,0.8279454,0.0001302625,0.00009993912,0.00006210223,0.0001455553,0.01936978,0.1217096,0.000004460383,0.02751664,0.0004958147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850968,0.003294664,0.0002442908,0.00007114368,0.00007187247,0.000157733,0.01102266,0.00001329027,0.00002754139],"genre_scores_gemma":[0.9545199,0.0005126717,0.0006197095,0.000151608,0.00004640117,0.00001981289,0.04395496,0.00002628448,0.000148699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8193648,"threshold_uncertainty_score":0.8197829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0295719096547776,"score_gpt":0.2571592511851296,"score_spread":0.227587341530352,"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."}}