{"id":"W2033169664","doi":"10.1016/j.cell.2014.08.009","title":"Determination and Inference of Eukaryotic Transcription Factor Sequence Specificity","year":2014,"lang":"en","type":"article","venue":"Cell","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2027,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of General Medical Sciences; Canadian Institutes of Health Research; Howard Hughes Medical Institute","keywords":"Biology; Inference; Computational biology; Genetics; Transcription factor; Sequence (biology); Transcription (linguistics); Evolutionary biology; Gene; Artificial intelligence","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":[0.0004091189,0.0002923395,0.0004408594,0.001282583,0.0002496571,0.0003709525,0.0002760181,0.0002385531,0.001341282],"category_scores_gemma":[0.001597683,0.0002408515,0.0002989535,0.0008982046,0.0001756345,0.0002344186,0.0003310257,0.0004067991,0.0009619728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547991,"about_ca_system_score_gemma":0.0002458934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009500323,"about_ca_topic_score_gemma":0.002301496,"domain_scores_codex":[0.9996803,0.00006808513,0.00002373086,0.0001467163,0.00005510201,0.00002618607],"domain_scores_gemma":[0.9994319,0.0003055139,0.00009534879,0.00006345739,0.00005716066,0.0000466107],"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":[0.0002856497,0.000033008,0.02724532,0.0001954758,0.00007391303,0.00005864346,0.00005784622,0.002079982,0.9406067,0.0006023988,0.000198412,0.02856263],"study_design_scores_gemma":[0.00005719924,0.0003170651,0.1898902,0.00006221177,0.0002637687,0.001072927,0.000150469,0.0792497,0.7098801,0.003536911,0.01544826,0.00007120387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915117,0.0007641723,0.07564215,0.00003323645,0.000008389814,0.00003867206,0.005791998,0.0005356194,0.002068807],"genre_scores_gemma":[0.9071916,0.0006390981,0.07918058,0.00007853491,0.00001242063,0.00006357022,0.01200437,0.0000932498,0.0007364179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001341282,"threshold_uncertainty_score":0.004487038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357302715950645,"score_gpt":0.2440824380772779,"score_spread":0.2205094109177714,"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."}}