{"id":"W3103466570","doi":"10.1161/circgen.120.003019","title":"Steps Toward Minimal Reporting Standards for Lipidomics Mass Spectrometry in Biomedical Research Publications","year":2020,"lang":"en","type":"article","venue":"Circulation Genomic and Precision Medicine","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"National Center for Advancing Translational Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; National Institute of General Medical Sciences; Wellcome Trust","keywords":"Library science; Lipidomics; Medicine; Chemistry; Computer science; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.003444809,0.0001388784,0.0003475719,0.0002868643,0.0001477714,0.00002837351,0.0001557964,0.0001500252,0.00007092322],"category_scores_gemma":[0.006904339,0.0001212073,0.00005761972,0.0004980208,0.0001934964,0.000007650327,0.0001240877,0.0001873371,0.000001685501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006287886,"about_ca_system_score_gemma":0.0001803738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007898879,"about_ca_topic_score_gemma":0.000003416524,"domain_scores_codex":[0.9977791,0.0000974264,0.0008762302,0.0005530564,0.0003920971,0.0003020586],"domain_scores_gemma":[0.9987584,0.0001676765,0.0003140122,0.0002282866,0.0003304961,0.000201128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000298383,0.00003008246,0.01509783,0.00007456171,0.00005381023,0.000001667942,0.0005650481,0.00002718147,0.9635633,0.001271477,0.01030875,0.008707952],"study_design_scores_gemma":[0.008548388,0.002615534,0.2882862,0.0001308741,0.0001051373,0.00004499622,0.004337213,0.008989631,0.009826488,0.008157249,0.6681975,0.0007607427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8579969,0.004391113,0.1249283,0.01065973,0.0002481818,0.0006838359,0.00006796981,0.00001826106,0.001005705],"genre_scores_gemma":[0.9887514,0.001352724,0.008180552,0.0002854716,0.001052033,0.00004777673,0.0002088117,0.0000213829,0.00009985799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9537368,"threshold_uncertainty_score":0.8265637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205901667262387,"score_gpt":0.3929136317216282,"score_spread":0.2723234649953895,"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."}}