{"id":"W4394331869","doi":"10.6084/m9.figshare.22603156","title":"Additional file 4 of Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Cohort; Pregnancy; Profiling (computer programming); Medicine; Metabolic syndrome; Bioinformatics; Computational biology; Internal medicine; Obstetrics; Endocrinology; Biology; Genetics; Obesity; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001534251,0.001726802,0.001775297,0.001552319,0.001103504,0.002050467,0.002493089,0.002158539,0.3962824],"category_scores_gemma":[0.01707641,0.000759389,0.0022068,0.003109959,0.0003180438,0.001116929,0.001449444,0.001441169,0.05765457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018577,"about_ca_system_score_gemma":0.002050098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121783,"about_ca_topic_score_gemma":0.03490583,"domain_scores_codex":[0.9992108,0.0001467904,0.0001319693,0.0002720118,0.0001030045,0.0001353485],"domain_scores_gemma":[0.9935459,0.003816757,0.0006386198,0.0007840844,0.0008578519,0.0003567065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008061439,0.00009310867,0.01313518,0.003986221,0.0004074254,0.0001207492,0.00009108496,0.0006447116,0.0002368032,0.0005760897,0.9754506,0.004451924],"study_design_scores_gemma":[0.01582525,0.0006425133,0.1402553,0.006827698,0.00221761,0.001095451,0.0006824907,0.002886761,0.001307774,0.01003271,0.8178787,0.0003476569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001986378,0.00002523047,0.00006179583,0.00004278644,0.000009154636,0.0000193606,0.9994734,0.0000458919,0.0001236799],"genre_scores_gemma":[0.004324034,0.0001093539,0.0009585891,0.0002783544,0.00004089525,0.0009169122,0.9910732,0.0001289943,0.002169624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3962824,"threshold_uncertainty_score":0.8611298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0449764364252447,"score_gpt":0.3104268456980492,"score_spread":0.2654504092728045,"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."}}