{"id":"W1998700684","doi":"10.1093/bfgp/eln042","title":"Technological developments in lipidomics","year":2008,"lang":"en","type":"review","venue":"Briefings in Functional Genomics and Proteomics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lipidomics; Biology; Computational biology; Data science; Bioinformatics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003490878,0.0004853145,0.001080986,0.0003741277,0.0001095512,0.00003724912,0.000246015,0.0007457291,0.000005350563],"category_scores_gemma":[0.0002065517,0.0004602563,0.0001881066,0.0003193731,0.0002580706,0.00000454738,0.000509056,0.0005367252,0.000007965279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568371,"about_ca_system_score_gemma":0.0004358033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002330396,"about_ca_topic_score_gemma":0.0000349469,"domain_scores_codex":[0.9978122,0.00006689268,0.0007536389,0.000818506,0.0001255216,0.0004232193],"domain_scores_gemma":[0.9993054,0.00004339912,0.0002719893,0.0002703161,0.00004089857,0.00006805424],"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":[0.000221967,0.0003042793,0.0006830015,0.001911303,0.0004099202,0.00005084715,0.00004906378,0.00003930845,0.001294874,0.008875497,0.001735411,0.9844245],"study_design_scores_gemma":[0.0005247457,0.00005594031,0.0002141555,0.0003131897,0.00002565399,0.0002180078,0.000007590919,0.000005646205,0.00006331644,0.0004025125,0.9976687,0.0005005025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004060977,0.9939142,0.0003550196,0.00005781702,0.0002081174,0.0008808351,0.00004868612,0.0000116143,0.0004627173],"genre_scores_gemma":[0.0001040939,0.9913858,0.007279239,0.0001987636,0.0001953107,0.0002885173,0.0002485633,0.00005838515,0.0002412975],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9959334,"threshold_uncertainty_score":0.9997849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359713891074785,"score_gpt":0.2673058556302061,"score_spread":0.2313344665227276,"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."}}