{"id":"W2030216510","doi":"10.1016/j.tins.2009.05.010","title":"From selective vulnerability to connectivity: insights from newborn brain imaging","year":2009,"lang":"en","type":"article","venue":"Trends in Neurosciences","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":170,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Neuroscience; Vulnerability (computing); White matter; Brain development; Brain Structure and Function; Psychology; Grey matter; Brain function; Neuroimaging; Human brain; Traumatic brain injury; Functional connectivity; Medicine; Magnetic resonance imaging; Psychiatry; Computer science","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":[0.0001435063,0.0001784745,0.0003404643,0.00032487,0.0001032371,0.00003502186,0.0002057337,0.0000508496,0.00006186216],"category_scores_gemma":[0.0006119164,0.0001430035,0.00006230976,0.001225693,0.0002119934,0.0002234978,0.00006334229,0.0002895329,0.00001889296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005247296,"about_ca_system_score_gemma":0.00004487568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007285043,"about_ca_topic_score_gemma":0.0003332612,"domain_scores_codex":[0.9981854,0.0001606437,0.0002344484,0.0008310847,0.0002735552,0.0003148937],"domain_scores_gemma":[0.9990136,0.0004319919,0.00005090547,0.0002915891,0.00002928543,0.0001826473],"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":[0.00024238,0.0003827478,0.03367256,0.000001694488,0.000003094076,0.0004456674,0.002488117,0.00001967207,0.4191616,0.0001787972,0.0008267019,0.542577],"study_design_scores_gemma":[0.0007576771,0.0005592502,0.9641086,0.00002238782,0.000009643701,0.00002539328,0.0001732775,0.0008236569,0.01603919,0.01430325,0.002999087,0.0001785777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784998,0.0001052376,0.00031788,0.01359012,0.0006088215,0.0001285998,0.00003349235,0.00008854542,0.006627457],"genre_scores_gemma":[0.9890985,0.00000198135,0.0009110199,0.009361132,0.0001779968,0.000008242996,0.00001317751,0.000006787035,0.0004211922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9304361,"threshold_uncertainty_score":0.5831512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186151222911599,"score_gpt":0.3150198251745926,"score_spread":0.2931583129454767,"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."}}