{"id":"W2792847452","doi":"","title":"Experience of multiple disadvantage among Roma, Gypsy and Traveller children in England and Wales","year":2018,"lang":"en","type":"preprint","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuffield Foundation","keywords":"Disadvantage; Census; Microdata (statistics); Geography; Poverty; Population; Ethnic group; Child poverty; Quarter (Canadian coin); Irish; Demography; Demographic economics; Economic growth; Socioeconomics; Political science; 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":[0.001021566,0.0002392027,0.0007996975,0.0009391838,0.002074426,0.001411164,0.0006502629,0.0005927916,0.004124139],"category_scores_gemma":[0.002911326,0.0003384392,0.000325927,0.001178782,0.002154842,0.001353195,0.004585096,0.001333879,0.0002738548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002873807,"about_ca_system_score_gemma":0.00267173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1745694,"about_ca_topic_score_gemma":0.3413698,"domain_scores_codex":[0.9986762,0.0003510472,0.00009207467,0.0001723582,0.0002859944,0.0004223347],"domain_scores_gemma":[0.998505,0.0001948141,0.0005632953,0.0000592716,0.000162902,0.0005147783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001542578,0.00005995269,0.7010786,0.0003379311,0.00007242103,0.009841191,0.2591481,0.0001098401,0.001202141,0.002384703,0.004914091,0.02069672],"study_design_scores_gemma":[0.000007245909,0.0001784107,0.7520804,0.0003337801,0.00002209706,0.004589702,0.233831,0.00006623086,0.0001059248,0.0002823505,0.008447665,0.00005521539],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997651,0.0003684218,0.0000190205,0.0006153498,0.00001240502,0.000006431089,0.0001039312,0.000001739784,0.001221696],"genre_scores_gemma":[0.9977131,0.0006709289,0.00008042755,0.0002285903,0.000009796192,0.0000190492,0.00007993678,0.00000387296,0.001194358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1745694,"threshold_uncertainty_score":0.3471066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0751964275782921,"score_gpt":0.4291295604328088,"score_spread":0.3539331328545167,"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."}}