{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199165,0.0001576619,0.0001425234,0.0007584658,0.00007509982,0.0002479136,0.0001152227,0.0002064298,0.0006835851],"category_scores_gemma":[0.001591161,0.0001205686,0.00007432418,0.0003371372,0.0002195362,0.0001132763,0.0001054142,0.0002515503,0.00008259146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274594,"about_ca_system_score_gemma":0.0000771197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008677072,"about_ca_topic_score_gemma":0.0008431223,"domain_scores_codex":[0.9997799,0.00006713874,0.00001442343,0.00006452681,0.00004709591,0.00002701748],"domain_scores_gemma":[0.9989441,0.0004846182,0.0003549733,0.00006827796,0.00008007076,0.00006794538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009424801,0.00005531767,0.7860098,0.00007580002,0.0001625213,0.000358873,0.0003434536,0.0004778412,0.1929887,0.0002176861,0.00009678009,0.01827075],"study_design_scores_gemma":[0.0000013502,0.00005450913,0.9934651,0.000002328067,0.00001155373,0.0003263036,0.00004731587,0.0001956559,0.005758069,0.00005085158,0.00008378644,0.000003119511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981405,0.0004466555,0.0009286958,0.00001493606,0.00000194801,0.000003010922,0.0001997883,0.000008732197,0.0002558548],"genre_scores_gemma":[0.9985727,0.0002013881,0.0008828443,0.000008903872,0.000003202684,0.000006524333,0.0001589668,0.00000557474,0.0001599124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008677072,"threshold_uncertainty_score":0.002286792,"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."}}