{"id":"W4394143552","doi":"10.6084/m9.figshare.22603150","title":"Additional file 2 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":"Medicine; Profiling (computer programming); Cohort; Pregnancy; Obstetrics; Bioinformatics; Internal medicine; Biology; Computer science; Genetics; Operating system","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":[0.001823351,0.001546738,0.00170194,0.001535256,0.001182087,0.002291661,0.002372558,0.002245487,0.3744153],"category_scores_gemma":[0.01934629,0.0007617595,0.001703972,0.003042357,0.0003267216,0.001205342,0.001524992,0.001579955,0.05259371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181837,"about_ca_system_score_gemma":0.002421638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040347,"about_ca_topic_score_gemma":0.03371114,"domain_scores_codex":[0.9990777,0.0001715603,0.0001712438,0.0003109247,0.0001298631,0.0001387151],"domain_scores_gemma":[0.9930323,0.004110906,0.0006837678,0.0008865287,0.0009276018,0.00035888],"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":[0.0007091766,0.0001018305,0.01107355,0.003910745,0.0002995383,0.0001092321,0.00009137763,0.0007114367,0.0001666025,0.0008093761,0.9772615,0.004755539],"study_design_scores_gemma":[0.01429428,0.0005318082,0.1025327,0.006424667,0.001416551,0.0008676705,0.0005835662,0.002864599,0.0008646873,0.009006296,0.8603554,0.00025775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002056398,0.0000269855,0.00007012226,0.00005389623,0.00000965166,0.0000321745,0.9994025,0.00003988057,0.0001590632],"genre_scores_gemma":[0.004450203,0.0001140356,0.001144708,0.000277373,0.0000433472,0.001338737,0.9902083,0.0001148529,0.00230851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3744153,"threshold_uncertainty_score":0.8923207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04402469994214703,"score_gpt":0.3099024378379077,"score_spread":0.2658777378957607,"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."}}