{"id":"W1990039203","doi":"10.1038/msb4100185","title":"Accurate prediction of gene feedback circuit behavior from component properties","year":2007,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences","keywords":"Biology; Synthetic biology; Electronic circuit; Computational biology; Gene regulatory network; Repressor; Gene; Component (thermodynamics); Biological system; Regulation of gene expression; Negative feedback; Systems biology; Genetics; Gene expression; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004017146,0.0002395741,0.000385758,0.0001023985,0.00005951675,0.00001403196,0.0002806257,0.0003760632,0.00001045005],"category_scores_gemma":[0.00002628511,0.00021723,0.0001959859,0.0001487213,0.0001583997,0.00000308655,0.00009816646,0.00008652831,0.00001309388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003487091,"about_ca_system_score_gemma":0.00005008777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407592,"about_ca_topic_score_gemma":0.00003408881,"domain_scores_codex":[0.9981235,0.0002146803,0.0006186694,0.0005229121,0.0001536317,0.0003665859],"domain_scores_gemma":[0.9987592,0.000008736681,0.0002869997,0.0006474799,0.0001883987,0.0001091784],"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":[0.00005287621,0.00007397663,0.01705387,0.00001831198,0.0002900939,0.00001199198,0.00003097351,0.000745872,0.9810094,0.00006044391,0.00008407386,0.0005680742],"study_design_scores_gemma":[0.0005559785,0.0002721643,0.03481433,0.00002679209,0.0001898727,0.0000386096,0.00009768546,0.0004600885,0.9594915,0.00001290172,0.003787434,0.0002526419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330724,0.007264602,0.0584696,0.00001074091,0.0005050104,0.0003850722,0.0001048669,0.00002340111,0.0001642572],"genre_scores_gemma":[0.9984522,0.00005244435,0.0002043648,0.00003849882,0.0003028281,0.00005056839,0.0007567125,0.00003497815,0.0001073981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06537976,"threshold_uncertainty_score":0.8858381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158925266562783,"score_gpt":0.2299404368565693,"score_spread":0.2083511841909415,"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."}}