{"id":"W4210436870","doi":"10.3390/brainsci12020223","title":"Does Where You Live Predict What You Say? Associations between Neighborhood Factors, Child Sleep, and Language Development","year":2022,"lang":"en","type":"article","venue":"Brain Sciences","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Alberta Children's Hospital Foundation; Canadian Child Health Clinician Scientist Program; Children's Hospital Foundation","keywords":"Poison control; Psychology; Socioeconomic status; Child Behavior Checklist; Developmental psychology; Context (archaeology); Demography; Injury prevention; Language development; Child development; Human factors and ergonomics; Medicine; Population; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002483863,0.000156576,0.0001914631,0.0001679363,0.005026992,0.0007206547,0.0005585924,0.0000668198,0.001136734],"category_scores_gemma":[0.0005661382,0.0001146749,0.00004728948,0.0007607778,0.0003595133,0.0008633013,0.0002400519,0.0002313486,0.00002271928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257082,"about_ca_system_score_gemma":0.001113171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150039,"about_ca_topic_score_gemma":0.002273144,"domain_scores_codex":[0.9971938,0.0003808159,0.0003066311,0.0004819991,0.001160018,0.0004768103],"domain_scores_gemma":[0.9988633,0.0005154704,0.0001936684,0.0001322417,0.00005587739,0.0002394118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[8.219891e-7,0.0000627143,0.596669,0.000003233713,0.0000321656,9.072577e-7,0.3803477,0.000006360504,0.000003087601,0.001997242,0.00290944,0.01796731],"study_design_scores_gemma":[0.0001344471,0.00004008944,0.6289364,0.00002150143,0.00000867867,4.263638e-7,0.2902052,0.000003973264,0.00002721522,0.0006630004,0.07972424,0.0002347693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9369639,0.001240732,0.00002799071,0.04872926,0.001432948,0.0005055773,0.00007989196,0.0001704116,0.01084925],"genre_scores_gemma":[0.9942937,0.0001218832,0.0007388514,0.001104763,0.0003105423,0.00004091951,0.00006234858,0.000009583679,0.003317392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0901425,"threshold_uncertainty_score":0.9997764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01754617148466216,"score_gpt":0.2873422753749689,"score_spread":0.2697961038903067,"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."}}