{"id":"W2967814532","doi":"10.1186/s12887-019-1651-z","title":"Television viewing and child cognition in a longitudinal birth cohort in Singapore: the role of maternal factors","year":2019,"lang":"en","type":"article","venue":"BMC Pediatrics","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; National Healthcare Group; National Medical Research Council; National Research Foundation Singapore; National University Health System; National Research Foundation","keywords":"Medicine; Mood; Confounding; Population; Cohort study; Cohort; Cognition; Prospective cohort study; Intelligence quotient; Longitudinal study; Path analysis (statistics); Demography; Pediatrics; Developmental psychology; Clinical psychology; Psychology; Environmental health; Psychiatry","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":[0.0004117207,0.00006355404,0.0001210538,0.0001771628,0.00006143018,0.0000336322,0.000109149,0.00007974755,0.00001928374],"category_scores_gemma":[0.0001750264,0.00004808962,0.00002092156,0.000432541,0.00006682333,0.0001480401,0.00006306711,0.000110219,0.000005915923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003315869,"about_ca_system_score_gemma":0.00006430955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003943768,"about_ca_topic_score_gemma":0.001006787,"domain_scores_codex":[0.9992709,0.00003671785,0.0001878992,0.0001370728,0.0002092163,0.0001582449],"domain_scores_gemma":[0.999678,0.0001361453,0.00007932055,0.00006354116,0.00002075931,0.00002220392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007368556,0.00001863372,0.9958619,0.00001326189,9.301991e-7,6.500704e-7,0.001074932,0.000001605231,0.000005064346,0.000803949,0.000002630891,0.002209028],"study_design_scores_gemma":[0.0001864297,0.00001378733,0.9955696,0.00002147915,0.000003984977,8.807167e-7,0.001324999,0.0000166067,0.00006075022,0.001921632,0.0008167903,0.00006300044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925082,0.0005385528,0.000007238748,0.0000467895,0.00007355509,0.0002306317,0.000003401118,0.00001886684,0.006572785],"genre_scores_gemma":[0.9994224,0.0004381073,0.00005174946,0.000009298757,0.00004037325,0.000002375581,0.000003920628,0.000004049006,0.00002772401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006914223,"threshold_uncertainty_score":0.1961038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485720083302627,"score_gpt":0.2509230788409152,"score_spread":0.236065878007889,"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."}}