{"id":"W1907262747","doi":"10.3233/isb-140463","title":"The utility of simple mathematical models in understanding gene regulatory dynamics","year":2015,"lang":"en","type":"review","venue":"In Silico Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Simple (philosophy); Noise (video); Computational biology; Operon; Bursting; Work (physics); Gene regulatory network; Computer science; Gene; Biology; Neuroscience; Artificial intelligence; Genetics; Gene expression; Physics; Epistemology","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":[0.001465058,0.00155472,0.001626331,0.001719419,0.000343949,0.001460435,0.001914789,0.001681037,0.002354061],"category_scores_gemma":[0.003183367,0.0006379092,0.0009878215,0.001403661,0.001888044,0.00322087,0.001089174,0.003055113,0.001720994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204376,"about_ca_system_score_gemma":0.001154744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095379,"about_ca_topic_score_gemma":0.0008648122,"domain_scores_codex":[0.9996657,0.000107706,0.00002988555,0.00007342096,0.0001066977,0.00001662132],"domain_scores_gemma":[0.9984832,0.001227727,0.00006244338,0.00008676237,0.000112426,0.00002735836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003639304,0.0001085994,0.0005348236,0.01313918,0.0002383068,0.0003575157,0.0002807269,0.05523568,0.003368417,0.5529315,0.01810175,0.355667],"study_design_scores_gemma":[0.00002103987,0.0001226716,0.0005363828,0.003289038,0.000195228,0.0009093792,0.0001185905,0.03724678,0.002262034,0.4028732,0.5522867,0.0001389209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001761643,0.835128,0.1443169,0.00298094,0.001067891,0.00003424195,0.0001879464,0.000199637,0.01432274],"genre_scores_gemma":[0.01807994,0.9482824,0.02868929,0.0008702429,0.001180776,0.00009434661,0.0002103794,0.00005888378,0.00253369],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002354061,"threshold_uncertainty_score":0.008738339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0918474865876045,"score_gpt":0.3423947944341172,"score_spread":0.2505473078465127,"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."}}