{"id":"W4394186346","doi":"10.6084/m9.figshare.22603153","title":"Additional file 3 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":"Profiling (computer programming); Cohort; Pregnancy; Medicine; Metabolic syndrome; Obstetrics; Computational biology; Bioinformatics; Internal medicine; Biology; Genetics; Computer science; Obesity","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":[0.001699517,0.001641231,0.001781285,0.001684346,0.001125928,0.002296385,0.002439772,0.002258829,0.4247635],"category_scores_gemma":[0.01997149,0.0007815865,0.001990905,0.003206401,0.0003460231,0.001227373,0.001589482,0.001577065,0.0657319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224267,"about_ca_system_score_gemma":0.002369372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224188,"about_ca_topic_score_gemma":0.03673344,"domain_scores_codex":[0.9990808,0.0001695737,0.0001636037,0.000313439,0.0001300407,0.0001425404],"domain_scores_gemma":[0.9921696,0.004957071,0.0007063876,0.0008150345,0.0009662238,0.0003858445],"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":[0.0005274182,0.00008398034,0.00858215,0.003420986,0.0002604245,0.00009383886,0.0000795801,0.0006227058,0.0001679766,0.000606436,0.9817962,0.003758256],"study_design_scores_gemma":[0.01231339,0.0004376705,0.08693796,0.005539659,0.001330487,0.0007997027,0.0005451899,0.002549017,0.0009852073,0.009255775,0.8790258,0.0002802003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001359886,0.00002112586,0.00005627752,0.00004321157,0.000007966451,0.00001872854,0.999552,0.00004619741,0.0001185367],"genre_scores_gemma":[0.002825446,0.00008964338,0.0007994031,0.0002411678,0.00003172351,0.0007847106,0.9934437,0.0001149896,0.00166928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4247635,"threshold_uncertainty_score":0.820505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04467253174147044,"score_gpt":0.3100324037166459,"score_spread":0.2653598719751755,"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."}}