{"id":"W2120667960","doi":"10.1111/j.1365-3016.2006.00704.x","title":"Early life predictors of childhood intelligence: findings from the Mater‐University study of pregnancy and its outcomes","year":2006,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Wellcome Trust","keywords":"Medicine; Pregnancy; Demography; Life course approach; Early childhood; Cohort; Cohort study; Population; Body mass index; Ethnic group; Epidemiology; Gerontology; Pediatrics; Developmental psychology; Psychology; Environmental health; Endocrinology","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":[0.0004266453,0.0001306628,0.0005871588,0.00008268774,0.00009160528,0.000001583142,0.00009523198,0.0001253525,0.00003247583],"category_scores_gemma":[0.000501895,0.00008706255,0.00004594873,0.0001337021,0.0001201852,0.00004529789,0.0001111787,0.0001821701,0.000001933892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001300118,"about_ca_system_score_gemma":0.00007261788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002092134,"about_ca_topic_score_gemma":0.00005333926,"domain_scores_codex":[0.9988288,0.000188551,0.0004377687,0.0002491865,0.00009040133,0.0002053084],"domain_scores_gemma":[0.9985383,0.0009844655,0.0001945215,0.0001309095,0.00004635234,0.0001055003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006237304,0.0001272292,0.9927672,0.0001189936,0.00006770361,0.000005578168,0.002241962,8.475806e-7,0.000004591487,0.003870312,0.00007799154,0.0006551809],"study_design_scores_gemma":[0.0007927427,0.0005823034,0.9961872,0.00003710057,0.00009111112,0.000006074735,0.0009831449,0.00001815802,0.00001186526,0.001168514,0.00005204636,0.00006980146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926497,0.005958797,0.0000364954,0.0005877549,0.0001131958,0.0004210855,0.00007234797,0.0000153564,0.0001452408],"genre_scores_gemma":[0.9821911,0.01738859,0.0001561496,0.0001306963,0.00007558992,0.000002923411,0.00001127315,0.000006792188,0.0000368242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142979,"threshold_uncertainty_score":0.3550308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714109311968251,"score_gpt":0.2782805491508422,"score_spread":0.2511394560311597,"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."}}