{"id":"W2155131464","doi":"10.1186/1752-0509-3-72","title":"Cascading signaling pathways improve the fidelity of a stochastically and deterministically simulated molecular RS latch","year":2009,"lang":"en","type":"article","venue":"BMC Systems Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Crosstalk; Computer science; Fidelity; High fidelity; Systems biology; Biological system; Topology (electrical circuits); Electronic engineering; Biology; Bioinformatics; Engineering; Electrical engineering; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005851887,0.0002180234,0.0003913869,0.0000461561,0.00009126024,0.00002235254,0.0002371118,0.0003073853,0.00000265407],"category_scores_gemma":[0.0002833284,0.0001594206,0.0001446638,0.0001225155,0.0001923833,0.000002104633,0.00009923376,0.00009933869,0.000001665858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001356967,"about_ca_system_score_gemma":0.0000875468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003601054,"about_ca_topic_score_gemma":0.00001127168,"domain_scores_codex":[0.9982264,0.0003204207,0.0005352706,0.0004731657,0.0001036282,0.0003411199],"domain_scores_gemma":[0.9988986,0.0001025775,0.0002186478,0.0005014772,0.0001731095,0.0001056436],"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":[0.00006865964,0.00002335673,0.002072654,0.00003061147,0.000099805,0.000003982167,0.00002828714,0.006695457,0.9886801,0.001571978,0.00001128246,0.000713835],"study_design_scores_gemma":[0.004903504,0.007214453,0.0233869,0.0003157692,0.001396733,0.0004849349,0.001087133,0.4491494,0.5018278,0.00468763,0.002890498,0.002655313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146106,0.001939211,0.08289153,0.00002997538,0.0001054381,0.0003028151,0.000020521,0.00001466644,0.00008524913],"genre_scores_gemma":[0.998766,0.00001549863,0.0008745205,0.0001045456,0.0001626702,0.000008880766,0.00002912285,0.00001579387,0.00002293885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4868523,"threshold_uncertainty_score":0.6500983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291911316357507,"score_gpt":0.2509212976478232,"score_spread":0.2380021844842481,"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."}}