{"id":"W4295850038","doi":"10.3390/molecules27185856","title":"Analysis of Polar Lipids in Hemp (Cannabis sativa L.) By-Products by Ultra-High Performance Liquid Chromatography and High-Resolution Mass Spectrometry","year":2022,"lang":"en","type":"article","venue":"Molecules","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Chemistry; Chromatography; Phospholipid; Chloroform; Mass spectrometry; Fatty acid; Linoleic acid; Solid phase extraction; Extraction (chemistry); Glycerol; Lipidomics; High-performance liquid chromatography; Membrane; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028324,0.0001977892,0.0003355753,0.0003669795,0.0001359831,0.00001434751,0.000227761,0.00009118098,0.00004292439],"category_scores_gemma":[0.0000547192,0.0001974334,0.00009377987,0.001152526,0.0001137783,0.000008842302,0.0001076189,0.0001295021,6.023373e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001898463,"about_ca_system_score_gemma":0.00003851731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002831047,"about_ca_topic_score_gemma":0.0000175971,"domain_scores_codex":[0.9985014,0.0001698781,0.0002962376,0.0004936377,0.0002469556,0.0002918879],"domain_scores_gemma":[0.9993674,0.000009254118,0.0001402213,0.0003774311,0.00004298468,0.00006277668],"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":[0.0001497275,0.0001271256,0.01077729,0.00003764681,0.0002974501,9.009929e-7,0.0000501495,0.00007486191,0.9862435,0.00002084388,0.00179072,0.0004297547],"study_design_scores_gemma":[0.0003279824,0.0003165688,0.02963439,0.000004480984,0.0001573701,0.000002095544,0.0000874505,0.00006322422,0.9584072,0.000003464512,0.01076266,0.0002331197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941816,0.004536052,0.0002814258,0.0002650892,0.00008710244,0.0001269051,0.00044321,0.00001182165,0.00006674921],"genre_scores_gemma":[0.9975854,0.0006562625,0.000711971,0.0001205056,0.0000687345,0.00003050819,0.0006948196,0.00002116921,0.0001106867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02783634,"threshold_uncertainty_score":0.8051103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00341066867508977,"score_gpt":0.1909106801135088,"score_spread":0.187500011438419,"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."}}