{"id":"W2606019449","doi":"10.1002/jcb.26053","title":"Comprehensive Dissection of Transcriptome Data and Regulatory Factors in Pancreatic Cancer Cells","year":2017,"lang":"en","type":"article","venue":"Journal of Cellular Biochemistry","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Douglas Mental Health University Institute; McGill University; McGill Genome Centre","funders":"","keywords":"Pancreatic cancer; Transcriptome; Biology; Transcription factor; Gene; FOXM1; Regulation of gene expression; Gene regulatory network; Regulator; Cancer research; Transcriptional regulation; Gene expression; Downregulation and upregulation; Gene expression profiling; Cancer; Computational biology; Bioinformatics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006286189,0.0005080146,0.0009113572,0.001562068,0.0004506831,0.000919025,0.0002066387,0.0002345575,0.0008995951],"category_scores_gemma":[0.0006596579,0.0002193711,0.001263767,0.002617293,0.0001930804,0.0003955976,0.0005460969,0.000581275,0.0005426462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409988,"about_ca_system_score_gemma":0.0006592928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009753128,"about_ca_topic_score_gemma":0.001711249,"domain_scores_codex":[0.9993327,0.00009162732,0.00006434245,0.0002313731,0.0001981159,0.00008175799],"domain_scores_gemma":[0.9995135,0.0001384513,0.00009763345,0.00008982851,0.0001177349,0.00004287267],"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":[0.0005616864,0.00009306544,0.05532724,0.0008122969,0.0004479731,0.0002998036,0.0002253816,0.002534257,0.8968063,0.0002735987,0.001135311,0.04148318],"study_design_scores_gemma":[0.00003328409,0.0006318099,0.650098,0.0001349581,0.001219352,0.001512034,0.0008788379,0.02075932,0.287242,0.001771439,0.03561024,0.0001087119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9008263,0.01263129,0.02960215,0.000283766,0.00008423435,0.0001111432,0.05281249,0.000832485,0.002816108],"genre_scores_gemma":[0.8248135,0.007134769,0.03408339,0.000304387,0.00006731506,0.0003804595,0.1307619,0.0002747292,0.0021795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001562068,"threshold_uncertainty_score":0.003324509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05274469958700862,"score_gpt":0.3556210901107788,"score_spread":0.3028763905237702,"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."}}