{"id":"W1988203670","doi":"10.1016/j.chroma.2005.12.109","title":"Normal-phase chiral liquid chromatography–mass spectrometry of non-UV-active compounds: Applications for pharmaceutically relevant racemates","year":2006,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Chemistry; Diastereomer; Chromatography; Enantiomer; Mass spectrometry; Atmospheric-pressure chemical ionization; Hexane; High-performance liquid chromatography; Liquid chromatography–mass spectrometry; Absorbance; Absolute configuration; Chromatographic separation; Organic chemistry; Chemical ionization","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002841267,0.001689964,0.001363768,0.002165015,0.001222863,0.001807225,0.002065168,0.002043637,0.002743459],"category_scores_gemma":[0.004594461,0.0007696339,0.0005160273,0.001152116,0.001512521,0.001862343,0.000949052,0.002423457,0.002697157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116738,"about_ca_system_score_gemma":0.002773528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001385789,"about_ca_topic_score_gemma":0.002520833,"domain_scores_codex":[0.9975834,0.0008020934,0.00009961229,0.0004123479,0.0008261556,0.000276349],"domain_scores_gemma":[0.9964908,0.001160853,0.0005407199,0.0003601374,0.0009008885,0.0005465598],"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":[0.0009249482,0.0002071799,0.0009052814,0.0003960248,0.00005816701,0.0003659803,0.00007205912,0.0003849728,0.9619597,0.002551967,0.001735375,0.03043828],"study_design_scores_gemma":[0.00006939286,0.0002876122,0.0007984187,0.00003787808,0.00003844695,0.001492975,0.00004711396,0.006479489,0.9839783,0.0009310367,0.005792486,0.0000468275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4116781,0.03111269,0.5184169,0.002773258,0.001198876,0.0007602939,0.002752227,0.009431667,0.021876],"genre_scores_gemma":[0.7555114,0.0130832,0.2150345,0.003055939,0.0004904824,0.0003470013,0.001719336,0.001026949,0.009731183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002841267,"threshold_uncertainty_score":0.01502621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00972179368507425,"score_gpt":0.2870826058875294,"score_spread":0.2773608122024552,"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."}}