{"id":"W2314277051","doi":"10.1093/heapro/daw003","title":"Health literacy and chronic disease management: drawing from expert knowledge to set an agenda","year":2016,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"","keywords":"Health literacy; Health promotion; Literacy; Psychological intervention; Variety (cybernetics); Medicine; Public relations; Health policy; Medical education; Health care; Political science; Nursing; Psychology; Public health; Pedagogy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1343558,0.00181072,0.003136616,0.0138805,0.009563066,0.0257479,0.00663764,0.02036098,0.004843589],"category_scores_gemma":[0.1074908,0.001472598,0.001653128,0.004827497,0.02981896,0.04522406,0.03562592,0.02547572,0.001171528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01839676,"about_ca_system_score_gemma":0.05342902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171853,"about_ca_topic_score_gemma":0.01631287,"domain_scores_codex":[0.9398941,0.04325659,0.00371089,0.002596387,0.005620966,0.004920995],"domain_scores_gemma":[0.7909547,0.1695924,0.004673643,0.003256261,0.01534364,0.0161793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001647651,0.0009891837,0.00879581,0.01208182,0.0003062481,0.001910066,0.1716906,0.001120049,0.0005270016,0.2299975,0.1185639,0.4538531],"study_design_scores_gemma":[0.0001117884,0.0002734812,0.005198705,0.05259052,0.0001771938,0.0006959691,0.2245657,0.001301918,0.0003792818,0.4915482,0.2229303,0.0002272247],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004628815,0.05931807,0.004943916,0.9168845,0.002083854,0.0001620246,0.00004138732,0.00003299971,0.01190445],"genre_scores_gemma":[0.4073219,0.2370848,0.05232066,0.2874011,0.007642041,0.002428967,0.0003127178,0.0001119788,0.005375935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1343558,"threshold_uncertainty_score":0.7105501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.095250407605612,"score_gpt":0.5115202627411978,"score_spread":0.4162698551355858,"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."}}