{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003339215,0.0005823522,0.0003824322,0.0006506131,0.0001908638,0.0004760303,0.0004282656,0.0004290099,0.0004574134],"category_scores_gemma":[0.002721987,0.0003466751,0.0002051039,0.0002835866,0.0003057842,0.0007440917,0.0001901285,0.0006251855,0.0001807092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009246145,"about_ca_system_score_gemma":0.0005042737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002293375,"about_ca_topic_score_gemma":0.002405243,"domain_scores_codex":[0.9998375,0.00002914575,0.000007812473,0.00004633695,0.00006065477,0.0000184348],"domain_scores_gemma":[0.9989464,0.0006441534,0.0001069332,0.0001253315,0.0001407523,0.00003652089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001707615,0.00005479394,0.01143272,0.00008214945,0.00003441583,0.00009216453,0.00005220064,0.5739773,0.3764483,0.007203741,0.000258266,0.03019316],"study_design_scores_gemma":[0.000003006721,0.00001318972,0.001753419,0.000001126149,0.0000042268,0.00001547231,0.000003074813,0.9657678,0.03091222,0.001411461,0.000109259,0.000005641995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5857229,0.0001239016,0.4115392,0.0000743053,0.000008909917,0.00002480369,0.0002398878,0.001351417,0.0009145951],"genre_scores_gemma":[0.975689,0.00005514261,0.02380555,0.000007477666,0.000002341607,0.00002751075,0.0001542192,0.00005199982,0.0002067439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002293375,"threshold_uncertainty_score":0.006708622,"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."}}