{"id":"W3192533213","doi":"10.5772/intechopen.99329","title":"Synthetic Gene Circuits for Antimicrobial Resistance and Cancer Research","year":2021,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Laufer Center for Physical and Quantitative Biology, Stony Brook University; National Defense Science and Engineering Graduate; Government of Canada; National Institutes of Health; University of Alberta; National Institute of General Medical Sciences","keywords":"Synthetic biology; Electronic circuit; Computational biology; Rational design; Gene; Biology; Computer science; Biochemical engineering; Genetics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004911121,0.0003386091,0.0004472743,0.0001397687,0.0002063849,0.00009355661,0.0003967523,0.0006027729,0.00007664836],"category_scores_gemma":[0.00005547749,0.0003641314,0.0002524538,0.00002357836,0.000354165,0.00000155046,0.0004127355,0.0003288447,0.000008364153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006995502,"about_ca_system_score_gemma":0.0003640852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001670513,"about_ca_topic_score_gemma":0.000629378,"domain_scores_codex":[0.9979355,0.00005808387,0.0003401143,0.001004394,0.000245387,0.0004165693],"domain_scores_gemma":[0.9982694,0.00004011629,0.0001481696,0.0008466063,0.0005738835,0.0001218189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001270896,0.00001322823,0.00000704736,0.0002490666,0.0008415924,0.00003164091,0.00003848293,0.00001047493,0.9353033,0.003703385,0.03062566,0.02904906],"study_design_scores_gemma":[0.0002558329,0.00004942073,0.000002091316,0.0003778027,0.0001372214,0.00001762662,0.000007675638,0.00000296507,0.3152977,0.000984114,0.6825016,0.0003659874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03404717,0.06093552,0.002419783,0.0008183884,0.001041082,0.003832752,0.001073662,0.00007663699,0.895755],"genre_scores_gemma":[0.09104603,0.001736052,0.0004808426,0.0001818365,0.0007622186,0.0001586283,0.0001786636,0.0001507503,0.905305],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6518759,"threshold_uncertainty_score":0.9998811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03543124410998327,"score_gpt":0.30224882925865,"score_spread":0.2668175851486667,"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."}}