{"id":"W3141453816","doi":"10.1093/cercor/bhab035","title":"Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; National Institutes of Health; Fetal Health Foundation","keywords":"Subplate; Fetus; Cerebral cortex; In utero; FLNA; Gene expression; Biology; Cortex (anatomy); Human brain; Pathology; Neuroscience; Magnetic resonance imaging; Phenotype; Gene; Medicine; Pregnancy; Genetics; Cell","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":[0.0001069553,0.00009864304,0.0002181518,0.0000441478,0.0001244085,0.00001323262,0.00003285417,0.00009903587,0.0003396839],"category_scores_gemma":[0.0009499416,0.00008699595,0.0000300773,0.0002191333,0.00003137876,0.0000807446,0.00008880463,0.0001573032,0.000005659001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000525642,"about_ca_system_score_gemma":0.00006548731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004495731,"about_ca_topic_score_gemma":0.000003989154,"domain_scores_codex":[0.9990067,0.00008122671,0.0002781747,0.0002358921,0.0002407807,0.0001571912],"domain_scores_gemma":[0.9993589,0.0001747234,0.0001244775,0.0000779523,0.0001724702,0.00009148745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000048636,0.0000535718,0.7718853,0.0001370517,0.0000566422,0.00001864816,0.0002418278,7.276099e-7,0.2271259,0.00003642301,0.0001829093,0.0002123318],"study_design_scores_gemma":[0.0007960022,0.0001481714,0.8981216,0.00003988386,0.0000641618,0.000007329104,0.0001029621,0.00002134921,0.1005464,0.00004633444,0.00002057122,0.00008529812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988704,0.0001413815,0.0001874834,0.0002749067,0.00004134381,0.0001353469,0.000008775276,0.0000326134,0.0003077145],"genre_scores_gemma":[0.9977685,0.00001827331,0.001339095,0.00007927589,0.00004890598,0.000002369744,0.0001890487,0.00001258047,0.0005419768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1265796,"threshold_uncertainty_score":0.3719301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585633236514473,"score_gpt":0.2562421095768666,"score_spread":0.2403857772117218,"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."}}