{"id":"W2116830222","doi":"10.1109/iembs.2005.1616522","title":"Design of a Genetic Differential Amplifier","year":2005,"lang":"en","type":"article","venue":"","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":"","keywords":"Computer science; Differential amplifier; Differential (mechanical device); Amplifier; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606835,0.0004052916,0.0004375763,0.0002946687,0.0004505026,0.0008712818,0.001606367,0.0007490994,0.003204307],"category_scores_gemma":[0.0004234494,0.0002359628,0.0002200494,0.0002329086,0.0002860817,0.0004444534,0.0004485877,0.0005155479,0.001846164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076092,"about_ca_system_score_gemma":0.0003827946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005146526,"about_ca_topic_score_gemma":0.00045069,"domain_scores_codex":[0.9996411,0.00003452463,0.00001864744,0.0001032245,0.0001545907,0.00004803333],"domain_scores_gemma":[0.999786,0.00003692458,0.00002768674,0.0000194992,0.0001012193,0.00002875541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004328831,0.0001632414,0.00166287,0.0005118849,0.0001138989,0.0007093205,0.0002755132,0.02420333,0.7923899,0.03826666,0.006390417,0.13488],"study_design_scores_gemma":[0.0002225474,0.001686307,0.001518942,0.0001068628,0.0002164713,0.00233445,0.00008942786,0.3251033,0.5563607,0.007264228,0.1049782,0.0001184979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04415565,0.0004827136,0.9332255,0.0007425488,0.0003804505,0.0004773921,0.0002165974,0.003474637,0.01684453],"genre_scores_gemma":[0.6611702,0.0004160246,0.3232729,0.0006037786,0.0001300725,0.00043553,0.0001898586,0.0001038069,0.01367781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003204307,"threshold_uncertainty_score":0.01071948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107796299846346,"score_gpt":0.2249814667238386,"score_spread":0.214201836739204,"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."}}