{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131122,0.0001570539,0.000274478,0.00009217342,0.0002933721,0.0001361279,0.001094777,0.000149474,0.0001707068],"category_scores_gemma":[0.0005840183,0.0001202707,0.00006881766,0.0005608118,0.00002256356,0.0001531683,0.0002035883,0.0002971009,0.00005397683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008655019,"about_ca_system_score_gemma":0.0003951105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0113581,"about_ca_topic_score_gemma":0.01982509,"domain_scores_codex":[0.9980817,0.0002941432,0.0005309848,0.0004580012,0.0001679777,0.0004672173],"domain_scores_gemma":[0.9984211,0.0005336513,0.0002062513,0.0003546162,0.00005069248,0.0004337429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005292051,0.00003915625,0.9643443,0.0001687223,0.00001668353,0.000008349299,0.01693654,0.00003661262,8.536128e-7,0.0004056163,0.01594494,0.001568968],"study_design_scores_gemma":[0.005691641,0.0001240498,0.9134277,0.000005094997,0.00001847895,0.00003699054,0.0004409708,0.00004742882,0.000001238008,0.0005785805,0.07942776,0.0002000896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303835,0.001601047,0.0004028931,0.06021373,0.0003608345,0.006431961,0.000329242,0.00006231094,0.0002144568],"genre_scores_gemma":[0.9754969,0.0001972294,0.0001195633,0.02164092,0.001132091,0.001101064,0.0001280279,0.00002830866,0.0001558394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06348282,"threshold_uncertainty_score":0.9980605,"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."}}