{"id":"W4394126200","doi":"10.6084/m9.figshare.22603162","title":"Additional file 6 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; Profiling (computer programming); Medicine; Pregnancy; Obstetrics; Physiology; Bioinformatics; Biology; Internal medicine; Genetics; 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":[0.001520445,0.001677218,0.001757749,0.001513402,0.001058744,0.001949422,0.002311193,0.002140747,0.4243726],"category_scores_gemma":[0.01697711,0.0007545232,0.002197644,0.002907353,0.0003140428,0.001115403,0.00132195,0.00138375,0.05656622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102017,"about_ca_system_score_gemma":0.001971531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01923789,"about_ca_topic_score_gemma":0.03212276,"domain_scores_codex":[0.9992234,0.0001480298,0.0001323122,0.0002652491,0.00009878079,0.0001323122],"domain_scores_gemma":[0.9928929,0.00432206,0.0006788005,0.0008535219,0.0008903132,0.0003624499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008257171,0.0001039639,0.01225111,0.003779819,0.0003767322,0.000128309,0.00009101848,0.0006718903,0.0002529239,0.000543939,0.97635,0.004624568],"study_design_scores_gemma":[0.01700459,0.0006980597,0.1482459,0.006570303,0.002091225,0.001174128,0.0006481417,0.003177712,0.001486387,0.01023203,0.8083038,0.0003676673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002275689,0.00002723766,0.00006764776,0.00004701683,0.00001031782,0.00002002357,0.9994215,0.00005170141,0.0001270466],"genre_scores_gemma":[0.004729349,0.0001127005,0.001039369,0.0002838157,0.00004397277,0.0008748816,0.9905431,0.0001418327,0.002231003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4243726,"threshold_uncertainty_score":0.8210626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0446701514027133,"score_gpt":0.3101305716504471,"score_spread":0.2654604202477338,"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."}}