{"id":"W7010628618","doi":"","title":"Investigating the impact of early-life adversity on perineuronal nets in the human brain","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Pelvic floor disorders treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Fondation Brain Canada; American Foundation for Suicide Prevention; University of Washington; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Human brain; Neuroimaging; Perineuronal net; Brain mapping; Central nervous system","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":[0.0001392942,0.0001105903,0.0001121866,0.00008472527,0.0002605335,0.0004802542,0.0001273078,0.0001715349,0.004056154],"category_scores_gemma":[0.0006084684,0.00006019626,0.0001149794,0.0001080057,0.0002028161,0.000212558,0.0003248171,0.0004562426,0.0002544459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003276056,"about_ca_system_score_gemma":0.0004833715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004195021,"about_ca_topic_score_gemma":0.01219422,"domain_scores_codex":[0.9999551,0.00001336653,0.00000111468,0.00000887827,0.000009427859,0.00001215262],"domain_scores_gemma":[0.999853,0.00004679204,0.00003384335,0.000006816086,0.00002310034,0.0000364159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004924893,0.001301183,0.4380977,0.001363999,0.0006593378,0.002812723,0.003906129,0.001619329,0.08841602,0.005440298,0.0103907,0.4410676],"study_design_scores_gemma":[0.00001534897,0.001056409,0.9886619,0.0001137808,0.00007993792,0.0004341765,0.001922107,0.0001901096,0.002729736,0.001147102,0.00363959,0.000009723222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845844,0.006391354,0.000261755,0.001274924,0.00006652291,0.00001667257,0.0001909424,0.000003409679,0.007210046],"genre_scores_gemma":[0.9825032,0.01009248,0.0004497236,0.0002930592,0.00004805377,0.00002682586,0.000157255,0.000005773421,0.006423809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004195021,"threshold_uncertainty_score":0.01356918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02700798135918766,"score_gpt":0.3036478692959159,"score_spread":0.2766398879367282,"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."}}