{"id":"W2790149446","doi":"10.1101/282376","title":"TFAP2 transcription factors are regulators of lipid droplet biogenesis","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics and Genomics of Geneva; Canadian Institutes of Health Research; National Center of Competence in Research Chemical Biology; SystemsX.ch; Université de Genève; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biogenesis; Wnt signaling pathway; Cell biology; WNT3A; Transcription factor; Organelle; Lipid droplet; Regulator; Transcription (linguistics); Biology; Master regulator; Signal transduction; Chemistry; Genetics; Gene","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":[0.0001916114,0.0006070015,0.0002474874,0.0003976543,0.0003135456,0.0007274419,0.0001995226,0.0004792822,0.00319546],"category_scores_gemma":[0.0002323578,0.0001929676,0.0002907914,0.0002931567,0.0002829198,0.0005205508,0.0003551541,0.0004827064,0.001271864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005199123,"about_ca_system_score_gemma":0.0002237276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048816,"about_ca_topic_score_gemma":0.0006399183,"domain_scores_codex":[0.9997861,0.00002155826,0.00001105354,0.00009411701,0.00004751422,0.00003956789],"domain_scores_gemma":[0.9998832,0.00001674609,0.0000268081,0.00001452647,0.00002887167,0.00002991111],"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":[0.0001736655,0.000009020649,0.001367394,0.00006299113,0.00001038477,0.0002150301,0.00002647493,0.0001172088,0.9940794,0.0005558229,0.000437002,0.002945737],"study_design_scores_gemma":[0.00002749265,0.00005055495,0.01780833,0.00001471023,0.00002045674,0.001202987,0.00008182217,0.002889551,0.9618418,0.0009831132,0.01505865,0.00002057832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244737,0.01554337,0.03797209,0.00104839,0.0003496624,0.00006222802,0.005110655,0.001245491,0.01419434],"genre_scores_gemma":[0.9785098,0.001713304,0.005152307,0.0001433281,0.0001051931,0.00003641494,0.002765442,0.0001295771,0.01144453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00319546,"threshold_uncertainty_score":0.01068991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237308142805412,"score_gpt":0.2058805822651814,"score_spread":0.1935075008371273,"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."}}