{"id":"W2108927982","doi":"10.1002/dta.1534","title":"Enantiomeric separations of illicit drugs and controlled substances using cyclofructan‐based (LARIHC) and cyclobond I 2000 RSP HPLC chiral stationary phases","year":2013,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; World Anti-Doping Agency","keywords":"Enantiomer; Chemistry; Derivatization; Acetonitrile; Chromatography; Solvent; Selectivity; Amine gas treating; Methanol; Yield (engineering); Combinatorial chemistry; High-performance liquid chromatography; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125011,0.000211498,0.000567286,0.000179407,0.0002699758,0.00009320369,0.00006710279,0.00006515552,0.0002690989],"category_scores_gemma":[0.0001585262,0.0001830289,0.0001453951,0.0009028909,0.0003143226,0.0001572598,0.00002385818,0.0001049317,4.121989e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001193692,"about_ca_system_score_gemma":0.00004458918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004428524,"about_ca_topic_score_gemma":0.000007446607,"domain_scores_codex":[0.9987782,0.00002741811,0.0004361447,0.0003418187,0.0001969588,0.0002195048],"domain_scores_gemma":[0.9985576,0.0007202892,0.0002691435,0.0001573781,0.0001521458,0.0001434935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001188065,0.0004207251,0.6980093,0.0007193494,0.003186987,0.00001592382,0.001369475,0.002356203,0.2885543,0.0002213269,0.0001175668,0.004910019],"study_design_scores_gemma":[0.00500757,0.00003560385,0.01554666,0.0002699007,0.005989097,0.00002012699,0.003500199,0.9371335,0.02888795,0.002659138,0.00007018988,0.0008800486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942808,0.001723901,0.000346772,0.00006530324,0.000003903196,0.0000612766,0.00007907362,0.00004663531,0.003392354],"genre_scores_gemma":[0.9952205,0.00005510081,0.004082163,0.00002942035,0.00003428999,0.0000144263,0.00006553477,0.00001060648,0.0004879775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9347773,"threshold_uncertainty_score":0.74637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01238633123613194,"score_gpt":0.2488685025409492,"score_spread":0.2364821713048172,"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."}}