{"id":"W4252870552","doi":"10.1016/b0-12-226770-2/01601-x","title":"LIPIDS | Liquid Chromatography","year":2000,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Separation Science","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Chromatography; Chemistry","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":[0.0006561818,0.00229312,0.001700869,0.003202735,0.0009354295,0.003607536,0.00182217,0.001568821,0.08729822],"category_scores_gemma":[0.0008072559,0.0007948728,0.000513837,0.00343831,0.001096911,0.002952321,0.002216414,0.004378508,0.1779546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008837571,"about_ca_system_score_gemma":0.001551851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202337,"about_ca_topic_score_gemma":0.002124032,"domain_scores_codex":[0.9993253,0.00006814298,0.00002996257,0.0001301445,0.0003923763,0.00005398352],"domain_scores_gemma":[0.9997496,0.00006527742,0.00002112129,0.00004154251,0.00008356757,0.00003899306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009248436,0.0001729824,0.0001170763,0.00156834,0.00001859135,0.0002057083,0.0001106739,0.0002431831,0.02104679,0.02846349,0.234106,0.7138547],"study_design_scores_gemma":[0.000008341503,0.00004187939,0.0001339375,0.0001734231,0.000006440973,0.0003151766,0.00002180392,0.0001179833,0.005165352,0.006524208,0.9874795,0.00001190927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001458004,0.2804044,0.04871512,0.005112303,0.01463406,0.0004034986,0.002207917,0.004819099,0.6422455],"genre_scores_gemma":[0.005530377,0.1324131,0.01622286,0.003277823,0.003125375,0.0005017999,0.002152702,0.0008980823,0.835878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08729822,"threshold_uncertainty_score":0.2920416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303034590482311,"score_gpt":0.3296318285601998,"score_spread":0.3066014826553767,"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."}}