{"id":"W2414445529","doi":"10.1007/978-1-62703-113-4_18","title":"Preparative Separation of Ribonucleoside Monophosphates by Ion-Pair Reverse-Phase HPLC","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Ribonucleoside; Nucleoside; Chemistry; Nucleotide; High-performance liquid chromatography; RNA; Nuclear magnetic resonance spectroscopy; Chromatography; Biochemistry; Stereochemistry","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":[0.0007903776,0.002223774,0.001299278,0.0009676872,0.0006865672,0.000869396,0.001265003,0.0005649189,0.006502516],"category_scores_gemma":[0.001027628,0.0005910514,0.0006360493,0.0007434843,0.0004342528,0.0004852442,0.0004407224,0.002477099,0.01240421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665978,"about_ca_system_score_gemma":0.001144158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000548249,"about_ca_topic_score_gemma":0.001058123,"domain_scores_codex":[0.9992544,0.0001029043,0.00005826586,0.000143913,0.0003317897,0.0001087099],"domain_scores_gemma":[0.9996494,0.0001580546,0.00002684701,0.00004085237,0.00009573715,0.00002922735],"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":[0.00007528083,0.0001680424,0.0001091027,0.0003916071,0.00002247058,0.0002128447,0.0000563929,0.0007292959,0.9516708,0.001306976,0.002094785,0.04316235],"study_design_scores_gemma":[0.00003409894,0.0002716175,0.0004164037,0.00005663044,0.00004443804,0.0002620034,0.00002870948,0.001353514,0.9654372,0.0006355277,0.03141795,0.00004184105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06299437,0.01465063,0.8682805,0.0006162513,0.001046934,0.006311806,0.004379864,0.0101203,0.0315994],"genre_scores_gemma":[0.07696064,0.02371784,0.8592228,0.001179823,0.0005169766,0.007519914,0.008721402,0.001331197,0.02082949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006502516,"threshold_uncertainty_score":0.02175307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800843897142342,"score_gpt":0.4068038348105959,"score_spread":0.3887953958391725,"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."}}