{"id":"W1967775308","doi":"10.1073/pnas.1419328112","title":"GEMM-I riboswitches from <i>Geobacter</i> sense the bacterial second messenger cyclic AMP-GMP","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Institute of General Medical Sciences; Directorate for Mathematical and Physical Sciences; National Institutes of Health; U.S. Department of Defense; NIH Office of the Director; Burroughs Wellcome Fund","keywords":"Geobacter sulfurreducens; Geobacter; Riboswitch; Bacteria; Cell biology; Extracellular; Signal transduction; Chemistry; Pathogenic bacteria; Biology; Microbiology; Biofilm; Biochemistry; RNA; Gene; Genetics; Non-coding RNA","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":[0.00123322,0.0001123887,0.000130576,0.000034078,0.0001377632,0.00003956959,0.0006756327,0.0001328601,0.00004410972],"category_scores_gemma":[0.0005406664,0.00006340082,0.00008805537,0.0001777726,0.0004806688,0.00002803089,0.0002053531,0.00009100091,0.000004539919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009503157,"about_ca_system_score_gemma":0.00005129413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000115437,"about_ca_topic_score_gemma":8.013729e-7,"domain_scores_codex":[0.9987045,0.00002023885,0.0002450694,0.0002619055,0.0006185814,0.0001496938],"domain_scores_gemma":[0.9993415,0.00006300454,0.0003232509,0.00002174154,0.0002018077,0.00004871058],"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":[0.00004533103,0.00001961044,0.0003752057,0.000006345537,0.00002254665,3.945028e-9,0.0001201135,0.000003496091,0.995538,0.001158938,0.002531692,0.0001787137],"study_design_scores_gemma":[0.0001870468,0.00004155414,0.006668394,0.00002005126,0.00001236259,0.000006325597,0.0001208567,0.000007646633,0.9638048,0.01234318,0.01670061,0.00008710842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942237,0.0002087052,0.000002150937,0.002052385,0.00007086164,0.0001529328,0.00004837747,0.000004642629,0.003236313],"genre_scores_gemma":[0.9978007,0.00002706271,0.0008376973,0.0004774319,0.0004076335,0.00001132315,0.000001468519,0.000006077824,0.0004305702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03173314,"threshold_uncertainty_score":0.258541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04533672184121153,"score_gpt":0.2803553896104452,"score_spread":0.2350186677692337,"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."}}