{"id":"W4248709782","doi":"10.1039/c7ra90039b","title":"Correction: Enantiomeric resolution and simulation studies of four enantiomers of 5-bromo-3-ethyl-3-(4-nitrophenyl)-piperidine-2,6-dione on a Chiralpak IA column","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Population and Public Health; Royal Society of Chemistry; King Saud University; Royal Society","keywords":"Enantiomer; Piperidine; Resolution (logic); Chemistry; Chromatography; Stereochemistry; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002627387,0.002307962,0.002345598,0.002665077,0.002238906,0.002525439,0.004162835,0.00366635,0.10925],"category_scores_gemma":[0.04495446,0.001363681,0.002190961,0.002453875,0.00133651,0.002323816,0.002213767,0.00613485,0.04407848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003491075,"about_ca_system_score_gemma":0.004428411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008930482,"about_ca_topic_score_gemma":0.0150335,"domain_scores_codex":[0.9951107,0.0004450605,0.0006670788,0.0005638669,0.002754919,0.0004585113],"domain_scores_gemma":[0.9746743,0.004028908,0.001324814,0.001833702,0.01692148,0.001216761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009798124,0.000009687883,0.0000937751,0.0003121716,0.00002820302,0.0002147139,0.0000293782,0.000262418,0.001147878,0.001025221,0.990049,0.006729562],"study_design_scores_gemma":[0.0001012789,0.00003422015,0.0008338653,0.0001729801,0.00005238632,0.0006287542,0.00006360956,0.002048609,0.006065154,0.002184053,0.9877295,0.00008556346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.001634525,0.001854554,0.008301054,0.02580117,0.9450918,0.00007367727,0.008526897,0.004309772,0.004406456],"genre_scores_gemma":[0.1278816,0.0140369,0.08105722,0.05123863,0.1755272,0.0009263168,0.05473929,0.025699,0.4688939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.10925,"threshold_uncertainty_score":0.3654778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876762383570671,"score_gpt":0.3236661259489615,"score_spread":0.2948985021132549,"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."}}