{"id":"W2187417910","doi":"10.1542/peds.2015-0419","title":"Child Care Services, Socioeconomic Inequalities, and Academic Performance","year":2015,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université Laval; Université de Montréal; McGill University; Douglas Mental Health University Institute; Research Unit on Children's Psychosocial Maladjustment","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Socioeconomic status; Population; Inequality; Cohort; Pediatrics; Reading (process); Demography; Environmental health","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":[0.0004132854,0.00007039387,0.00008049995,0.0000647557,0.0003121941,0.00005316004,0.0001449785,0.00010504,0.00004077187],"category_scores_gemma":[0.00003828337,0.00007476508,0.00001357187,0.0001078464,0.00005084249,0.0002354846,0.00004598465,0.0001709151,0.0001681148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709637,"about_ca_system_score_gemma":0.000774083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000724921,"about_ca_topic_score_gemma":0.0002473032,"domain_scores_codex":[0.9992718,0.00004373378,0.0001495165,0.0001384864,0.0001905291,0.0002059052],"domain_scores_gemma":[0.9995089,0.00003395301,0.00006739773,0.00007291538,0.00008642273,0.0002304518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000207194,0.000005331317,0.7399857,0.00004349582,0.000002122699,1.473097e-7,0.2489599,0.00000503534,3.869066e-8,0.002017863,0.002990688,0.005987625],"study_design_scores_gemma":[0.0006327453,0.00003745402,0.3235553,0.00001510312,0.0000257377,0.0000021059,0.1894396,0.0000156869,0.000006022443,0.0009909229,0.4848624,0.0004170098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632992,0.005005699,0.000003040146,0.001711123,0.0006048354,0.0001066585,0.000005749777,0.00006472727,0.02919893],"genre_scores_gemma":[0.9921786,0.004668538,0.0002793696,0.0008916607,0.001287829,0.000006670479,0.00001936638,0.000007583137,0.0006604524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4818717,"threshold_uncertainty_score":0.3048831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02790302423578214,"score_gpt":0.2959519559374418,"score_spread":0.2680489317016597,"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."}}