{"id":"W2523884055","doi":"10.1016/j.jchromb.2016.09.034","title":"High throughput solid phase microextraction: A new alternative for analysis of cellular lipidome?","year":2016,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lipidome; Chemistry; Sphingomyelin; Chromatography; Lipidomics; Solid-phase microextraction; Flame ionization detector; Biochemistry; Mass spectrometry; Gas chromatography; Membrane; Gas chromatography–mass spectrometry","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":[0.0002472599,0.0001488171,0.0005412657,0.0004752791,0.00004467284,0.0000124792,0.000197364,0.00007709161,0.00005109418],"category_scores_gemma":[0.00007725884,0.0000978856,0.0008751703,0.0004423784,0.00008227192,0.00001160967,0.00003522084,0.00004848317,4.438624e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009940286,"about_ca_system_score_gemma":0.00006734167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231437,"about_ca_topic_score_gemma":0.000008745719,"domain_scores_codex":[0.9988972,0.00003249734,0.0005412695,0.0001801349,0.0001691623,0.0001797507],"domain_scores_gemma":[0.99851,0.0000481699,0.0008169849,0.00020831,0.0003206127,0.00009592505],"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":[0.0003151224,0.0001940076,0.0007431851,0.00001204015,0.006034929,0.000002705094,0.00003542992,0.00001293507,0.9855474,0.0004308462,0.004829211,0.00184215],"study_design_scores_gemma":[0.003312924,0.001210579,0.00103646,0.00002561897,0.001403818,0.00001528558,0.00004678238,0.000007925779,0.9556673,0.000950877,0.03617989,0.0001425754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8033281,0.002902852,0.1927765,0.0003365881,0.0004222317,0.00009567994,0.00007743989,0.000002359948,0.00005830595],"genre_scores_gemma":[0.9899824,0.002573457,0.006493449,0.00005343464,0.0007459581,0.000003341106,0.0000104864,0.00001372924,0.0001237617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866543,"threshold_uncertainty_score":0.3991659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592728009053748,"score_gpt":0.3168709183322351,"score_spread":0.3009436382416976,"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."}}