{"id":"W4322758705","doi":"10.1080/15476286.2023.2179582","title":"Hfq protein and GcvB small RNA tailoring of <i>oppA</i> target mRNA to levels allowing translation activation by MicF small RNA in <i>Escherichia coli</i>","year":2023,"lang":"en","type":"article","venue":"RNA Biology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Translation (biology); RNA; Small RNA; Cell biology; Escherichia coli; Transfer RNA; RNA-binding protein; Messenger RNA; Gene; Genetics","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":[0.0003324306,0.0002380203,0.0003191986,0.0001542648,0.00005668986,0.00001581767,0.0002340732,0.0005918317,0.000006588052],"category_scores_gemma":[0.00008012524,0.0002411703,0.00006489654,0.0003550816,0.0000958704,0.000005732022,0.0001514201,0.0001777021,0.00000465125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001806623,"about_ca_system_score_gemma":0.00006009933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475774,"about_ca_topic_score_gemma":0.0001612538,"domain_scores_codex":[0.9984311,0.0001119912,0.0004259461,0.0005426058,0.00005730839,0.0004310751],"domain_scores_gemma":[0.9994335,0.00002321429,0.0001411755,0.0002606888,0.00005859505,0.0000828608],"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":[0.000147585,0.00004015781,0.0004355932,0.00003596881,0.00003703714,0.000001343645,0.00008488763,0.00003317125,0.9870665,0.000052762,0.0001159077,0.01194909],"study_design_scores_gemma":[0.0007383403,0.0005312412,0.001690441,0.00003660758,0.000009035065,0.000001371924,0.00005184211,0.00008940867,0.9817919,0.00025076,0.01454538,0.0002636958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952092,0.0003326887,0.002036647,0.001356643,0.0001706856,0.0005745886,0.00008481123,0.0000359847,0.0001987287],"genre_scores_gemma":[0.9940434,0.0002074823,0.004860597,0.0002857543,0.0001213077,0.00007155674,0.0002557038,0.00003343727,0.0001208257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01442947,"threshold_uncertainty_score":0.983464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02391125629278166,"score_gpt":0.2391309571304338,"score_spread":0.2152197008376521,"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."}}