{"id":"W7027620233","doi":"","title":"Deep Grey Matter Growth and Neurodevelopmental Outcomes in Very Preterm Children","year":2013,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Grey matter; White matter; Neuropsychology; Neuroimaging; Magnetic resonance imaging; Brain size; Cognition; Thalamus","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":[0.0002324682,0.0001315805,0.00009865438,0.0004247568,0.000146168,0.0002989207,0.0001277687,0.0001882223,0.0007562494],"category_scores_gemma":[0.001707213,0.00007482518,0.00009313554,0.000315191,0.0001794111,0.0001977836,0.0003837643,0.0002821968,0.0001600398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003344004,"about_ca_system_score_gemma":0.0002477839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006748645,"about_ca_topic_score_gemma":0.007393255,"domain_scores_codex":[0.9999448,0.00001248878,0.00000304124,0.00001088828,0.00001484006,0.00001395177],"domain_scores_gemma":[0.9996809,0.00008582232,0.0001131913,0.00001500318,0.00004010992,0.00006494954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002142702,0.0001000224,0.9725006,0.00003852398,0.0000326816,0.0002867216,0.001177544,0.0002976751,0.001721217,0.0002045522,0.0004387495,0.02298748],"study_design_scores_gemma":[0.000001000908,0.00005801642,0.9991042,0.00001438509,0.000005893131,0.0001217245,0.0001818552,0.00005237385,0.000193645,0.00007710985,0.0001883141,0.000001446735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988793,0.0004808336,0.00002614706,0.00004695383,0.000001931563,0.000001693884,0.0001190314,0.000001237872,0.0004430042],"genre_scores_gemma":[0.9983085,0.0009096704,0.0001225874,0.00001260356,0.000005766225,0.000006538315,0.0001781679,0.000001863796,0.0004543533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006748645,"threshold_uncertainty_score":0.01341873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007163223484490531,"score_gpt":0.266705695246455,"score_spread":0.2595424717619644,"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."}}