{"id":"W1995759967","doi":"10.1109/tnb.2003.820283","title":"A genetic circuit amplifier: design and simulation","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on NanoBioscience","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discrete circuit; Linear circuit; Amplifier; Circuit extraction; Computer science; Equivalent circuit; Electronic circuit simulation; RL circuit; Electronic engineering; Circuit design; Capacitor; Electrical element; Electronic circuit; RC circuit; Electrical engineering; Engineering; Voltage; CMOS","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":[0.0001929476,0.0001285795,0.00009423916,0.00008103257,0.0002297486,0.00003380167,0.0001090382,0.00009137455,0.00002487775],"category_scores_gemma":[0.00001144221,0.0001285888,0.00006294227,0.0002992468,0.0001346993,0.000005802196,9.628918e-7,0.00005142202,0.00001138862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001644186,"about_ca_system_score_gemma":0.0000698022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003092593,"about_ca_topic_score_gemma":0.000005881946,"domain_scores_codex":[0.998971,0.0001085361,0.0001431775,0.000418608,0.0001419627,0.0002166504],"domain_scores_gemma":[0.9994804,0.00002729721,0.00004285738,0.0003031539,0.00004752564,0.00009882022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001005274,0.00004213148,0.00009001565,0.000002841212,0.00001538056,8.246444e-7,0.00002069134,0.5688409,0.4263466,0.0000142085,0.00002080838,0.004595528],"study_design_scores_gemma":[0.0005705106,0.0004529924,0.001497726,0.00001335876,0.00009119902,0.00004857143,0.00003858773,0.04960679,0.9423107,0.0002799808,0.004608904,0.0004807005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2916642,0.0001269238,0.7078968,0.000008672878,0.0001091207,0.0001196264,0.000001981749,0.00001084139,0.00006177062],"genre_scores_gemma":[0.9948081,0.00009572456,0.004497787,0.0001204117,0.00001752019,0.00001789139,5.550873e-7,0.00001242276,0.0004295869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7033991,"threshold_uncertainty_score":0.5243699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897900654593569,"score_gpt":0.2403111037572923,"score_spread":0.2213320972113567,"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."}}