{"id":"W4387496983","doi":"10.1016/j.euroneuro.2023.08.134","title":"23. HOW GENES AND ENVIRONMENTS MODIFY INTERGENERATIONAL RISK FOR DEPRESSION – USING POLYGENIC SCORES TO TRANSLATE BETWEEN RODENTS AND HUMANS","year":2023,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Offspring; Biology; Gene; Dentate gyrus; Distress; Depression (economics); Gene expression; Genetics; Psychology; Hippocampus; Neuroscience; Clinical psychology; Pregnancy","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":[],"consensus_categories":[],"category_scores_codex":[0.001188268,0.0005730109,0.0002367801,0.0005135515,0.0002417619,0.0008834478,0.000333827,0.0004384379,0.001469322],"category_scores_gemma":[0.002992283,0.0001639151,0.00036364,0.0005086084,0.0005177927,0.0004316432,0.0004515551,0.0005074153,0.0002571559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604061,"about_ca_system_score_gemma":0.0002816466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005062628,"about_ca_topic_score_gemma":0.008805393,"domain_scores_codex":[0.9993895,0.000323076,0.00003029315,0.0001584954,0.00006868113,0.00003003396],"domain_scores_gemma":[0.9993406,0.0002143739,0.0001885253,0.0001205238,0.0000860052,0.00004992893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001867362,0.0005212002,0.5670851,0.0003131193,0.003014927,0.0009910734,0.001480741,0.004883941,0.1138028,0.01820394,0.004769641,0.2830662],"study_design_scores_gemma":[0.00005863931,0.000741415,0.9729452,0.00008844364,0.0006336698,0.0004943794,0.0003048645,0.004228984,0.008701024,0.008131373,0.003607155,0.00006481557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611507,0.0006659845,0.02837262,0.0009114099,0.0001752925,0.000045505,0.001565548,0.0002108433,0.006902122],"genre_scores_gemma":[0.9802714,0.0004708547,0.01543867,0.0004335752,0.00002641728,0.00006930842,0.0004028984,0.00008338732,0.002803567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005062628,"threshold_uncertainty_score":0.01006633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0408868262087438,"score_gpt":0.3259985782973432,"score_spread":0.2851117520885994,"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."}}