{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001488838,0.000248406,0.0001665594,0.00006832507,0.0001234816,0.000200198,0.0002345995,0.0003358024,0.0006722128],"category_scores_gemma":[0.0001922134,0.00009411205,0.0001969509,0.00008543599,0.0002276316,0.000193899,0.0001832184,0.0004809031,0.0002439235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003690411,"about_ca_system_score_gemma":0.0001446933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000478839,"about_ca_topic_score_gemma":0.001037653,"domain_scores_codex":[0.9999106,0.00001483119,0.000006387058,0.00002435643,0.00002629129,0.0000174672],"domain_scores_gemma":[0.9999276,0.00001570999,0.0000258426,0.000009999689,0.000007766656,0.00001298198],"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":[0.0000181197,0.000007902642,0.0001027874,0.00001475267,0.000001596321,0.0000182832,0.000007329173,0.00008066194,0.9983198,0.0001831946,0.00002934646,0.001216259],"study_design_scores_gemma":[0.00000537206,0.0000795984,0.0008240887,0.000002246072,0.000004330293,0.00005608133,0.00001286766,0.0007099828,0.9963553,0.00008947732,0.001855808,0.000004945836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756914,0.0007890805,0.01889201,0.0002448489,0.00006131364,0.00005186282,0.0003001227,0.0005075705,0.003461911],"genre_scores_gemma":[0.9802465,0.0003171464,0.01651623,0.000231352,0.000008740965,0.0000373957,0.0006086204,0.0000832148,0.001950741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006722128,"threshold_uncertainty_score":0.002677619,"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."}}