{"id":"W2078723335","doi":"10.1371/journal.pcbi.1001069","title":"Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation","year":2011,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; British Columbia Institute of Technology","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; British Columbia Institute of Technology; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Institutes of Health; National Science Foundation","keywords":"Drosophila embryogenesis; Biology; Gap gene; Mutant; Regulation of gene expression; Drosophila melanogaster; Noise (video); Gene expression; Genetics; Gene; Transcription factor; Promoter; Cell biology; Computer science","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":[0.0001826261,0.0003209185,0.0002252118,0.0002137887,0.0001772354,0.0003297177,0.0002190202,0.0003419643,0.0005340012],"category_scores_gemma":[0.0008164012,0.0002506265,0.0002897012,0.0001184832,0.0003273517,0.0002546073,0.0003458152,0.0003380033,0.0001041354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006997065,"about_ca_system_score_gemma":0.0002355882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002208395,"about_ca_topic_score_gemma":0.002206283,"domain_scores_codex":[0.9998831,0.00002543708,0.000007769015,0.00002806283,0.00003607245,0.00001952616],"domain_scores_gemma":[0.9997408,0.0001216541,0.00005208882,0.0000189548,0.00002101562,0.00004549528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001453246,0.00005169881,0.004791874,0.00003832335,0.00002302129,0.00008544822,0.00003501858,0.05749492,0.9344554,0.0008327684,0.00004928001,0.001996913],"study_design_scores_gemma":[0.00005704007,0.0002974667,0.06842758,0.00001525435,0.00005600237,0.0002397724,0.00005828514,0.6792411,0.2496524,0.001411755,0.0004958037,0.00004750566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922047,0.00008270026,0.007239661,0.00003672022,0.000003794237,0.000004904389,0.00004337515,0.00005180529,0.0003323993],"genre_scores_gemma":[0.9989045,0.00004224044,0.0008392014,0.000009808808,0.000001245372,0.000004899077,0.00003346031,0.00001850309,0.0001462331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002208395,"threshold_uncertainty_score":0.005076826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278126939953798,"score_gpt":0.2321106818420057,"score_spread":0.2193294124424677,"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."}}