{"id":"W2756631898","doi":"","title":"Black Immigrant Children, Insurance Status and Neighborhood Characteristics: A Study by Length of Time in the United States Using Data from the National Survey of Children’s Health","year":2024,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Socioeconomic status; Poverty; Quarter (Canadian coin); Health care; Foreign born; Population; Medicine; Demography; Geography; Economic growth; Environmental health; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001354115,0.0003478114,0.0003395077,0.001238394,0.001398787,0.0007589778,0.0007759554,0.0006234674,0.001982274],"category_scores_gemma":[0.001668969,0.0004633017,0.0009105817,0.001633962,0.0004087057,0.0007355486,0.001229291,0.001287765,0.0003367445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008227344,"about_ca_system_score_gemma":0.001255378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07302646,"about_ca_topic_score_gemma":0.1313553,"domain_scores_codex":[0.9994643,0.0001379555,0.00005610492,0.00007784042,0.0001394327,0.0001243949],"domain_scores_gemma":[0.9985489,0.0001472673,0.0007329849,0.00006623485,0.0001479657,0.0003565843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002130211,0.00007572709,0.998565,0.00001178093,0.00003973217,0.0000320053,0.0004374392,0.00001298048,0.0000369456,0.00002308374,0.0001776712,0.0005662763],"study_design_scores_gemma":[0.000002717483,0.00006685064,0.9974178,0.00002583935,0.00001824599,0.00006330003,0.00204708,0.00004451353,0.00001451002,0.000008575827,0.0002871428,0.000003401748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981989,0.0003612291,0.00003853066,0.00011502,0.00001250237,0.00002424739,0.0007718662,0.000001622113,0.0004761488],"genre_scores_gemma":[0.9979475,0.0004785814,0.0001772329,0.00009304722,0.00001443796,0.00007043273,0.000882024,0.000002652059,0.0003341648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07302646,"threshold_uncertainty_score":0.1452028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909714933922039,"score_gpt":0.3084706090274746,"score_spread":0.2593734596882542,"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."}}