{"id":"W2169940438","doi":"10.1261/rna.037747.112","title":"Hfq restructures RNA-IN and RNA-OUT and facilitates antisense pairing in the Tn<i>10</i>/IS<i>10</i> system","year":2013,"lang":"en","type":"article","venue":"RNA","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; RNA; Antisense RNA; Pairing; Cell biology; Computational biology; Genetics; Gene","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":[0.0001425575,0.0001321744,0.0001232348,0.00004254494,0.00005577156,0.00007227523,0.00009399481,0.00008980028,0.00004019508],"category_scores_gemma":[0.00005306858,0.00009664176,0.00003381662,0.00005389596,0.00007802471,0.000009018921,0.00005762968,0.00005215944,0.0000171109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008244292,"about_ca_system_score_gemma":0.00001956175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009981963,"about_ca_topic_score_gemma":0.0000575726,"domain_scores_codex":[0.9991657,0.00009612819,0.0001844915,0.0002661292,0.0001011064,0.0001864223],"domain_scores_gemma":[0.9995801,0.0000251069,0.00004572533,0.0002400052,0.00002945948,0.00007960655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001985137,0.00006236074,0.0393119,0.0004075778,0.00004186951,0.00006030171,0.001744282,0.00006483129,0.9213529,0.0003350749,0.0233434,0.01307697],"study_design_scores_gemma":[0.003643941,0.0002725704,0.8271845,0.0003083102,0.0000401109,0.000103539,0.005437234,0.001793009,0.1317072,0.000993521,0.02759777,0.0009182916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939422,0.002609156,0.0000114605,0.0005032422,0.00004120154,0.0002243838,0.00001621777,0.00001012963,0.002642006],"genre_scores_gemma":[0.9983363,0.0001488745,0.00006469624,0.0003513009,0.00005715405,0.00001844705,0.0000169769,0.000009773688,0.0009964516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7896457,"threshold_uncertainty_score":0.3940937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008651478841826791,"score_gpt":0.2269515145148534,"score_spread":0.2183000356730266,"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."}}