{"id":"W2137409960","doi":"10.1093/ije/dyr094","title":"Pre-natal and post-natal growth trajectories and childhood cognitive ability and mental health","year":2011,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Birth weight; Cognition; Intelligence quotient; Pediatrics; Medicine; Mental health; Gestational age; Wechsler Adult Intelligence Scale; Early childhood; Demography; Cognitive development; Low birth weight; Psychology; Developmental psychology; Pregnancy; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001126671,0.0001178351,0.0003978292,0.0001282489,0.00005068096,0.000006477916,0.00006659769,0.00007512362,0.00007062324],"category_scores_gemma":[0.001655144,0.00009007491,0.00005227552,0.00002187107,0.0002772174,0.0001829097,0.00007232677,0.0002508673,3.250077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004114274,"about_ca_system_score_gemma":0.0001201491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001069397,"about_ca_topic_score_gemma":0.00001465765,"domain_scores_codex":[0.9988244,0.0001863249,0.0005363401,0.0001674399,0.0001286702,0.0001568584],"domain_scores_gemma":[0.9985682,0.0005275729,0.0003321837,0.00003736003,0.0003647275,0.0001699101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00123683,0.00003362881,0.9749565,0.00003270422,0.0003439377,0.00004943919,0.01015874,8.492573e-9,0.00006676514,0.001252203,0.0002116793,0.01165756],"study_design_scores_gemma":[0.001756995,0.0008659533,0.9882325,0.000150854,0.0000267146,0.005311651,0.0005392101,0.000006722813,0.0001316917,0.002656137,0.0002350106,0.00008655842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923646,0.002375459,0.00006301531,0.003974121,0.0004744571,0.0001408604,0.0002081044,0.000006349251,0.0003930539],"genre_scores_gemma":[0.9932271,0.001223663,0.002987772,0.002250775,0.0001894469,0.000001696854,0.0001040511,0.000006640468,0.000008817446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.013276,"threshold_uncertainty_score":0.3673148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935909004731385,"score_gpt":0.3280677783407014,"score_spread":0.2987086882933875,"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."}}