{"id":"W2884545291","doi":"10.1016/j.schres.2018.07.030","title":"Identification of a miRNAs signature associated with exposure to stress early in life and enhanced vulnerability for schizophrenia: New insights for the key role of miR-125b-1-3p in neurodevelopmental processes","year":2018,"lang":"en","type":"article","venue":"Schizophrenia Research","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Medical Research Council; Ministry of Health, British Columbia; National Institute for Health and Care Research","keywords":"microRNA; Schizophrenia (object-oriented programming); Biomarker; Biology; Biological pathway; Prenatal stress; Hippocampal formation; Signal transduction; Bioinformatics; Computational biology; Neuroscience; Medicine; Genetics; Gene; Gene expression; Psychiatry; Offspring","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001628185,0.0003294195,0.0003722381,0.0006654942,0.0002664929,0.0004431559,0.0001669817,0.0003411844,0.001443506],"category_scores_gemma":[0.0004381408,0.0001947125,0.000277231,0.0003796742,0.0002144949,0.0001296598,0.0003748335,0.0004684785,0.0002449751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162569,"about_ca_system_score_gemma":0.0003211673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118301,"about_ca_topic_score_gemma":0.001896872,"domain_scores_codex":[0.9998714,0.0000169173,0.00001146446,0.00004558088,0.00002855419,0.00002601689],"domain_scores_gemma":[0.9996494,0.0000362772,0.0001779545,0.00002021207,0.00003250779,0.00008364634],"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":[0.002102656,0.0001005816,0.193882,0.0001076573,0.000194994,0.001083829,0.0003626795,0.0001279994,0.7858474,0.000397262,0.0003659515,0.01542711],"study_design_scores_gemma":[0.00001826298,0.000222536,0.9688885,0.00002280826,0.0001419254,0.001914884,0.0002060353,0.0006547872,0.02603975,0.0004344232,0.001427767,0.00002834275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958703,0.0008853715,0.001619319,0.0001212667,0.00002185009,0.0000102478,0.0007030041,0.0000231593,0.0007454825],"genre_scores_gemma":[0.9966449,0.0003282017,0.001541008,0.00008646324,0.00001514917,0.0000175835,0.0004617745,0.00002054078,0.0008843919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443506,"threshold_uncertainty_score":0.00482899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831263337297965,"score_gpt":0.2970729947727674,"score_spread":0.2787603613997877,"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."}}