{"id":"W2995533676","doi":"10.1126/sciadv.aax8898","title":"Gastrointestinal transcription factors drive lineage-specific developmental programs in organ specification and cancer","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Digestive system and related health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University Health Network; Princess Margaret Cancer Centre; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Cancer Research Society","keywords":"Transcription factor; Lineage (genetic); Cancer; Transcription (linguistics); Biology; Gastrointestinal cancer; Computational biology; Bioinformatics; Gene; Genetics; Colorectal cancer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540421,0.0002481101,0.0001838747,0.0002970961,0.0002112066,0.0004956108,0.0001816312,0.0002444613,0.001961058],"category_scores_gemma":[0.0001731686,0.0001530516,0.0002188584,0.0002016661,0.000360194,0.0003095522,0.0003026152,0.0003721854,0.0005392039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378033,"about_ca_system_score_gemma":0.0004010323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536906,"about_ca_topic_score_gemma":0.004433578,"domain_scores_codex":[0.9998691,0.00001836715,0.000006122935,0.00003239957,0.00002790877,0.00004618039],"domain_scores_gemma":[0.999898,0.00001975123,0.00001800112,0.00001398744,0.00001860661,0.00003175071],"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":[0.0001108301,0.000004692853,0.00119881,0.0000606518,0.000004237784,0.00009089237,0.00002578447,0.00006724866,0.9942682,0.001164844,0.00008232134,0.002921555],"study_design_scores_gemma":[0.00001635269,0.0001014463,0.02642424,0.00002279946,0.0000350766,0.0006919328,0.000149463,0.001045118,0.9525177,0.0007576705,0.01822557,0.00001264401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949345,0.01558586,0.01822362,0.0006098181,0.0001360901,0.0000332749,0.001874391,0.0002482936,0.01394362],"genre_scores_gemma":[0.9879242,0.002981283,0.00375446,0.0001275426,0.00002196456,0.00001124251,0.0006173825,0.00002995498,0.00453187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001961058,"threshold_uncertainty_score":0.006560385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185116352912801,"score_gpt":0.2721326958202882,"score_spread":0.2502815322911602,"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."}}