{"id":"W3042395054","doi":"10.1136/bmjpo-2020-000705","title":"Healthcare access for migrant children in England during the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"BMJ Paediatrics Open","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Economic and Social Research Council","keywords":"Health care; Immigration; Public health; Pandemic; Economic growth; Political science; Health equity; Population; Right to health; Health policy; Inequality; Medicine; Coronavirus disease 2019 (COVID-19); Business; Environmental health; Nursing; Law; Economics; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001599971,0.000304521,0.0007117409,0.0007732107,0.004686589,0.00321431,0.00108615,0.00181773,0.008952501],"category_scores_gemma":[0.006857556,0.0005082825,0.0006786993,0.001221074,0.001611101,0.003595761,0.006381995,0.004448063,0.0007721374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009551059,"about_ca_system_score_gemma":0.009763612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.325666,"about_ca_topic_score_gemma":0.4043948,"domain_scores_codex":[0.997892,0.0003947047,0.0002695842,0.0001885826,0.0002026883,0.001052539],"domain_scores_gemma":[0.9962912,0.0003401421,0.001011851,0.000100733,0.0005867226,0.001669417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005170663,0.0001928765,0.5715508,0.00165702,0.00009310429,0.01311189,0.3172978,0.0001976386,0.0005910288,0.00450033,0.0607921,0.02949844],"study_design_scores_gemma":[0.00004768954,0.0002679249,0.6290898,0.002829639,0.000040214,0.005527888,0.3107976,0.0001623294,0.00009799201,0.001002922,0.05000734,0.0001286934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941035,0.008335505,0.0001031179,0.03660104,0.0005582009,0.0001803704,0.003619378,0.00003109395,0.009536282],"genre_scores_gemma":[0.9826502,0.004613463,0.0001872433,0.007900982,0.0002477639,0.000161685,0.0009947761,0.00002372269,0.003220072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.325666,"threshold_uncertainty_score":0.6475407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298214817698,"score_gpt":0.4400722154226214,"score_spread":0.3102507336528214,"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."}}