{"id":"W2114704739","doi":"10.1109/iembs.2006.259377","title":"Inverting Amplifier Genetic Circuit Performance","year":2006,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Amplifier; Electronic engineering; Engineering; Telecommunications; Bandwidth (computing)","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":[0.00007772224,0.0001133314,0.00009327983,0.00003274284,0.00007858053,0.00001845167,0.0001336235,0.00008588262,0.00009814543],"category_scores_gemma":[0.000005858207,0.0001077109,0.00008345771,0.000115259,0.0000386003,0.000001568913,0.00006015688,0.00003725125,0.00005841817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009804016,"about_ca_system_score_gemma":0.00002702118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003270275,"about_ca_topic_score_gemma":0.00005244859,"domain_scores_codex":[0.9991827,0.00002064388,0.0001836534,0.0002686069,0.0001048903,0.0002395297],"domain_scores_gemma":[0.9995284,0.000002490843,0.00004856774,0.0003300003,0.00004584536,0.00004470069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000008721934,0.00003896372,0.3230554,0.00001609454,0.00006413006,0.000002108936,0.00000665374,0.01057488,0.6450934,0.0002318877,0.01054745,0.01036023],"study_design_scores_gemma":[0.0005287983,0.0001302386,0.4850052,0.00001004775,0.00008005826,0.00004006506,0.000024811,0.007726409,0.4239227,0.0004758862,0.08141989,0.0006358923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807052,0.0004706452,0.005528115,0.00002198689,0.00004738657,0.00005345864,6.025376e-7,0.00001855254,0.01315406],"genre_scores_gemma":[0.9931897,0.0000347392,0.001133318,0.0001907382,0.0004146411,0.000008132357,0.00003565233,0.00001836014,0.004974717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2211707,"threshold_uncertainty_score":0.4392324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00768477070998617,"score_gpt":0.194405734760636,"score_spread":0.1867209640506498,"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."}}