{"id":"W3158079048","doi":"","title":"Metabolomic Profiling of Biomarkers Indicative of Ancestral and Lifetime Adversity in a Two-Hit Stress Model","year":2018,"lang":"en","type":"article","venue":"URSCA Proceedings","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Metabolome; Biology; Offspring; Lineage (genetic); Transgenerational epigenetics; Stressor; Heritability; Normalization (sociology); Physiology; Stress (linguistics); Metabolomics; Genetics; Evolutionary biology; Medicine; Pregnancy; Bioinformatics; Gene; Neuroscience","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":[0.0003238651,0.0001169189,0.000359896,0.0002365382,0.00004035102,0.00000369742,0.00008300402,0.00007262073,0.00001003433],"category_scores_gemma":[0.00009405059,0.0001055896,0.00002950925,0.000300442,0.0003184718,0.0001253418,0.00005109407,0.0001352995,0.000001355012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004718859,"about_ca_system_score_gemma":0.0002782186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009349722,"about_ca_topic_score_gemma":0.0000186273,"domain_scores_codex":[0.9990168,0.00000547109,0.0003058048,0.0002472591,0.0001911443,0.0002334945],"domain_scores_gemma":[0.9992066,0.00001282395,0.0004065956,0.00005778324,0.0002003073,0.0001158751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007459876,0.0001728709,0.9458923,0.0008283945,0.0001181941,0.000001151448,0.01010625,6.524614e-7,0.03327986,0.007832338,0.000140537,0.0008814381],"study_design_scores_gemma":[0.003377788,0.000423726,0.7373624,0.0005866834,0.0001271278,0.00001170649,0.003236012,0.004980303,0.2459742,0.003716803,0.000009674336,0.000193578],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938114,0.0001766704,0.0000342511,0.0002586277,0.00002506072,0.0003874819,0.00001890717,0.00001805727,0.005269493],"genre_scores_gemma":[0.9843518,0.0009148381,0.01457583,0.00008122688,0.00003836656,0.000007232967,0.000004802866,0.00001003887,0.00001586369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126944,"threshold_uncertainty_score":0.4305819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02392736821355996,"score_gpt":0.3107883826290171,"score_spread":0.2868610144154572,"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."}}