{"id":"W2054546131","doi":"10.1002/cbic.200700713","title":"A FACS‐Based Approach to Engineering Artificial Riboswitches","year":2008,"lang":"en","type":"article","venue":"ChemBioChem","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McMaster University","keywords":"Riboswitch; Sorting; Computer science; Cell sorting; Computational biology; Information retrieval; Chemistry; Artificial intelligence; Biology; Gene; RNA; Cell; Algorithm; Biochemistry; Non-coding RNA","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":[],"consensus_categories":[],"category_scores_codex":[0.0001130812,0.0001924863,0.0001553772,0.00004581542,0.00008532804,0.00001606111,0.0002259587,0.0001697877,0.0000165099],"category_scores_gemma":[0.0001355569,0.0001958529,0.0001079302,0.0001237602,0.00002826233,0.000002149758,0.00006610156,0.0000637538,0.00005442417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001345837,"about_ca_system_score_gemma":0.00005878303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004336377,"about_ca_topic_score_gemma":4.015411e-7,"domain_scores_codex":[0.9989748,0.00001286929,0.0001669414,0.0004042806,0.0001431948,0.0002979314],"domain_scores_gemma":[0.9993681,0.000009285459,0.00003449265,0.0003895225,0.00004543324,0.0001531889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004007365,0.00007727782,0.0000409163,0.00001775957,0.0000175579,0.00000249217,0.00005826577,0.0002336331,0.9979881,0.00007309903,0.0007636596,0.0006871477],"study_design_scores_gemma":[0.0001514246,0.00007387105,0.00008409202,0.000008020296,0.000006110034,0.00001711335,0.0000283298,0.00019507,0.9883093,0.00001936441,0.01084524,0.0002620338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946718,0.0001708377,0.04959722,0.0001016526,0.00009323523,0.0002372004,0.000008075602,0.00004933779,0.003024452],"genre_scores_gemma":[0.9802335,0.00000665463,0.01848176,0.00029758,0.0003145564,0.000102486,0.00004651654,0.00003687854,0.0004800988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03351548,"threshold_uncertainty_score":0.798665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356155546418931,"score_gpt":0.2129188764191214,"score_spread":0.1893573209549321,"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."}}