{"id":"W2520011294","doi":"10.1136/jech-2016-208064.33","title":"OP33 Contextual Factors Associated with Health Care Service Utilisation for Children in Nigeria: A Multilevel Analysis","year":2016,"lang":"en","type":"article","venue":"Oral Presentations","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster sampling; Quarter (Canadian coin); Logistic regression; Multilevel model; Cluster (spacecraft); Environmental health; Health care; Multistage sampling; Population; Systematic sampling; Regression analysis; Medicine; Geography; Statistics; Computer science; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008007473,0.0001108761,0.0002984186,0.0001508024,0.0001072253,0.00001300574,0.00005632263,0.0000518516,0.00005630213],"category_scores_gemma":[0.00008383034,0.0000680201,0.00006738565,0.0004069573,0.00002375593,0.000110279,0.00001341056,0.00005852236,0.000004729609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741378,"about_ca_system_score_gemma":0.0001572163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005163908,"about_ca_topic_score_gemma":0.03102604,"domain_scores_codex":[0.9990449,0.00006740936,0.0002511347,0.0002090763,0.0001781096,0.0002493852],"domain_scores_gemma":[0.999297,0.0001006447,0.0001191456,0.00012909,0.0002150236,0.0001391354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201604,0.0001083698,0.9951252,0.00002591016,0.0002802298,6.583663e-7,0.002845476,0.00002822124,0.00004009585,0.0001233292,0.0004915382,0.000810766],"study_design_scores_gemma":[0.003123261,0.000175976,0.9940791,0.00007222254,0.0001581151,7.846349e-7,0.002039748,0.0001097778,0.0000704917,0.00003150764,0.00005951785,0.0000795523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904062,0.00003224482,0.00137745,0.006465812,0.00003100625,0.0009057599,0.0006694479,0.0000436891,0.00006845171],"genre_scores_gemma":[0.9973672,0.000003769067,0.0001874974,0.001133887,0.00002954183,0.00004696771,0.001033125,0.00001154982,0.0001864854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02586213,"threshold_uncertainty_score":0.9866552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04622187549808658,"score_gpt":0.3506502098473294,"score_spread":0.3044283343492428,"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."}}