{"id":"W2555515755","doi":"10.1038/srep37814","title":"Environmental Intervention as a Therapy for Adverse Programming by Ancestral Stress","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Epigenetics; microRNA; Neurotrophic factors; Neurotrophin; Anxiety; Prenatal stress; Endocrine system; Intervention (counseling); Bioinformatics; Disease; Chronic stress; Adverse effect; Neuroscience; Prefrontal cortex; Environmental enrichment; Biology; Medicine; Psychology; Psychiatry; Hormone; Offspring; Endocrinology; Pregnancy; Genetics; Internal medicine; Cognition; Receptor; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001201946,0.0003389599,0.0002143681,0.0001896836,0.0002113702,0.0002084398,0.0002052402,0.0003021951,0.002060337],"category_scores_gemma":[0.000180702,0.00007111279,0.0002131176,0.00008836095,0.0003518471,0.0001666552,0.0003446143,0.0006970496,0.0001817543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001422733,"about_ca_system_score_gemma":0.0002477232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00030961,"about_ca_topic_score_gemma":0.001225178,"domain_scores_codex":[0.9999185,0.00002009433,0.000004288854,0.00001923028,0.00001813738,0.00001979122],"domain_scores_gemma":[0.9999279,0.00001370819,0.00002051031,0.00001017793,0.000007816265,0.00001981244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001708734,0.001174091,0.002735692,0.0007359163,0.0001573037,0.0006362014,0.0002270509,0.0004858811,0.8102832,0.003325792,0.001283543,0.1772466],"study_design_scores_gemma":[0.0004422229,0.02393749,0.08237387,0.0006648988,0.0006987944,0.003550164,0.001137789,0.002574847,0.7637239,0.007879729,0.1128941,0.0001222909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445444,0.01438945,0.02670601,0.001879781,0.0005122626,0.0001547327,0.0003979542,0.0006991451,0.0107165],"genre_scores_gemma":[0.9672707,0.01476663,0.01166936,0.0005383351,0.0001151574,0.0001415811,0.0001936214,0.00005100056,0.005253515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002060337,"threshold_uncertainty_score":0.006892443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417949695035023,"score_gpt":0.2899851740502415,"score_spread":0.2658056770998913,"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."}}