{"id":"W3014278376","doi":"10.1139/cjm-2019-0612","title":"Towards safer stable isotope probing — effect of formamide on the separation of isotope-labeled and unlabeled <i>Escherichia coli</i> RNA by isopycnic density ultracentrifugation","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Isopycnic; Formamide; RNA; Ultracentrifuge; Differential centrifugation; Stable-isotope probing; Escherichia coli; Centrifugation; Chromatography; Chemistry; Density gradient; Biochemistry; Biology; Bacteria; Microorganism; Gene; Genetics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003576,0.002023122,0.0008696383,0.0004865229,0.0005673689,0.001036222,0.001074426,0.00178908,0.0009157481],"category_scores_gemma":[0.004336057,0.0009053585,0.0005410188,0.0003490817,0.001516407,0.001078403,0.0009583813,0.002179978,0.0009300861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004889153,"about_ca_system_score_gemma":0.0005658268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007484144,"about_ca_topic_score_gemma":0.001220802,"domain_scores_codex":[0.996906,0.001448111,0.0001464578,0.0006300521,0.0006738063,0.0001955939],"domain_scores_gemma":[0.9972874,0.001395527,0.0004128466,0.0004044801,0.0003644204,0.000135302],"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":[0.0000518272,0.0000147946,0.00008253901,0.00007688801,0.000007692465,0.00003605982,0.0000466538,0.00007993906,0.9973821,0.0001673617,0.00004719006,0.002006986],"study_design_scores_gemma":[0.000005145677,0.00008390368,0.0002591014,0.00001281271,0.00001264874,0.0001003924,0.00001170852,0.0008854831,0.9965018,0.0001180265,0.001998322,0.00001064887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4206488,0.01003796,0.5617766,0.001449512,0.0005356505,0.0005152394,0.0005357093,0.001212388,0.003288077],"genre_scores_gemma":[0.4915886,0.006788628,0.4934894,0.0007330215,0.0001591445,0.0004298747,0.001204098,0.000631651,0.004975496],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003576,"threshold_uncertainty_score":0.0189119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006050558823722903,"score_gpt":0.2203514259696189,"score_spread":0.214300867145896,"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."}}