{"id":"W2556681983","doi":"10.1039/c6cc08512a","title":"Ultrafast chiral separations for high throughput enantiopurity analysis","year":2016,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Process Research Ortech (Canada)","funders":"","keywords":"Bioanalysis; Supercritical fluid; Supercritical fluid chromatography; Chemistry; Chromatography; Enantioselective synthesis; Throughput; Chiral stationary phase; Ultrashort pulse; Biological fluids; Combinatorial chemistry; High-performance liquid chromatography; Organic chemistry; Computer science; Catalysis; Physics; Laser","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":[0.001203085,0.0007482322,0.0005684312,0.0009845974,0.0004500999,0.001074573,0.0007950209,0.0006617183,0.00305938],"category_scores_gemma":[0.001409502,0.0004235984,0.00035243,0.0007118037,0.0006849431,0.001170938,0.001026997,0.002647616,0.00166368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007547904,"about_ca_system_score_gemma":0.0006711428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008193409,"about_ca_topic_score_gemma":0.002207994,"domain_scores_codex":[0.9990894,0.0001781331,0.00004620074,0.0001142932,0.0004703886,0.0001015908],"domain_scores_gemma":[0.999295,0.0002935637,0.00009816981,0.0001208417,0.0001432113,0.00004922767],"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":[0.00009527833,0.00008584423,0.0003172475,0.0002120287,0.00001994171,0.0001032057,0.00008572184,0.00111802,0.9095322,0.007296056,0.002319397,0.07881505],"study_design_scores_gemma":[0.0000223237,0.0001138452,0.0005246457,0.00002705148,0.00001271013,0.0003610441,0.00002902696,0.01011067,0.9650698,0.002039365,0.02164618,0.00004342503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1478108,0.01341302,0.8113913,0.001133178,0.0004041371,0.0005799318,0.001413302,0.004345898,0.01950841],"genre_scores_gemma":[0.4113082,0.009565515,0.5677199,0.00079784,0.0002458738,0.0005761849,0.001254835,0.000479555,0.008052026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00305938,"threshold_uncertainty_score":0.01023465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521859727513405,"score_gpt":0.2921377861901603,"score_spread":0.2669191889150263,"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."}}