{"id":"W2127740299","doi":"10.1136/jech-2014-205436","title":"Association between maternal health literacy and child vaccination in India: a cross-sectional study","year":2015,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Université de Montréal","keywords":"Medicine; Health literacy; Cross-sectional study; Literacy; Demography; Environmental health; Logistic regression; Rural area; Vaccination; Public health; Health care; Immunology; Nursing; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1435515,0.0002065478,0.001288784,0.0006399762,0.001682736,0.000031122,0.0004071531,0.0003752303,0.00007229412],"category_scores_gemma":[0.01551399,0.0001740136,0.00008182736,0.0004197536,0.00004093343,0.001683822,0.0002196824,0.005926714,0.0000231283],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00436303,"about_ca_system_score_gemma":0.002376678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219712,"about_ca_topic_score_gemma":0.00192319,"domain_scores_codex":[0.9542921,0.03623446,0.007890169,0.0002227104,0.0004484731,0.0009121344],"domain_scores_gemma":[0.9807533,0.008631075,0.008353883,0.0004568672,0.0009788121,0.0008260314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001827266,0.0003004148,0.9759432,0.0004328853,0.00004300449,5.394065e-7,0.01567431,0.00001996946,1.56639e-8,0.0002498204,0.001328727,0.005824402],"study_design_scores_gemma":[0.003231441,0.001314197,0.9848126,0.0003174573,0.000005775701,0.00001539384,0.001949055,0.0001606157,6.341307e-8,0.003771512,0.004328803,0.00009314211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842565,0.0006894415,0.001046192,0.0112703,0.000838805,0.001035421,0.00005391878,0.00002832453,0.0007810914],"genre_scores_gemma":[0.9817603,0.0003612539,0.001917231,0.01530069,0.0005032595,0.00002371093,0.00006590566,0.00001345754,0.0000542504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280375,"threshold_uncertainty_score":0.9996169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811659578514523,"score_gpt":0.557710413221852,"score_spread":0.3765444553703997,"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."}}