{"id":"W1989720459","doi":"10.3310/phr03030","title":"Can community-based peer support promote health literacy and reduce inequalities? A realist review","year":2015,"lang":"en","type":"review","venue":"Public Health Research","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Public Health Research Programme; National Institute for Health and Care Research","keywords":"Scopus; Context (archaeology); Health literacy; Grey literature; Relevance (law); Systematic review; Medical education; Computer science; Psychology; MEDLINE; Knowledge management; Health care; Medicine; Political science","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":[0.05127158,0.001643747,0.00640329,0.01604948,0.001602387,0.006845612,0.004225191,0.005385988,0.006152464],"category_scores_gemma":[0.2104514,0.001223923,0.005243014,0.0136375,0.002963428,0.007949658,0.003977737,0.003245106,0.0007671801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009471307,"about_ca_system_score_gemma":0.03049149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005056742,"about_ca_topic_score_gemma":0.009490114,"domain_scores_codex":[0.9515986,0.03036602,0.008697965,0.00223252,0.006070387,0.001034506],"domain_scores_gemma":[0.8146508,0.153214,0.01326951,0.003806157,0.0134861,0.001573302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002245759,0.00008264026,0.0004738524,0.8160663,0.003223547,0.0001438678,0.001799174,0.000282453,0.0001687309,0.003594679,0.006101925,0.1678382],"study_design_scores_gemma":[0.0001622695,0.0002252062,0.001155794,0.9353054,0.007106241,0.0001802353,0.001331894,0.0001485966,0.0001797109,0.002229482,0.05193914,0.00003598931],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006787967,0.9922171,0.0004466286,0.003665385,0.0009716278,0.0009849921,0.0001092428,0.00001350286,0.0009126432],"genre_scores_gemma":[0.01566176,0.9771658,0.001649242,0.002227535,0.000520183,0.002420154,0.00009925253,0.000009508513,0.0002465623],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05127158,"threshold_uncertainty_score":0.2711533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7547981011474085,"score_gpt":0.6792782075718786,"score_spread":0.0755198935755299,"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."}}