{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355424,0.0002705498,0.0002098085,0.0001155902,0.0001688238,0.0003239188,0.0001602493,0.0002726878,0.000888628],"category_scores_gemma":[0.0001884913,0.0001325454,0.0002681646,0.00006839704,0.0002171956,0.0001218911,0.0001768589,0.0004415208,0.0004799528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003424299,"about_ca_system_score_gemma":0.0001836483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009445213,"about_ca_topic_score_gemma":0.001440424,"domain_scores_codex":[0.9998307,0.00002489865,0.00001113888,0.00004427713,0.0000448324,0.00004415716],"domain_scores_gemma":[0.9998852,0.00003389107,0.00002575879,0.00001403038,0.00001397802,0.00002719238],"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":[0.00003712212,0.000007444247,0.00008763569,0.00001148111,0.000001476229,0.00002153922,0.00000630521,0.00004864593,0.9992624,0.0000471382,0.00003240351,0.0004363587],"study_design_scores_gemma":[0.000003182959,0.00006252537,0.00167305,0.000002515928,0.00000374824,0.00005549816,0.0000135842,0.0006495695,0.9965036,0.00001739512,0.001011502,0.000003804627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895082,0.0008071855,0.007054764,0.0001506891,0.00004273211,0.00003324208,0.0004453047,0.0001806601,0.001777234],"genre_scores_gemma":[0.9901429,0.0002512249,0.004977654,0.0001952299,0.00001297076,0.00003876937,0.001029638,0.0001085018,0.003243151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009445213,"threshold_uncertainty_score":0.002972722,"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."}}