{"id":"W4399665479","doi":"10.18438/eblip30529","title":"Evidence Based Principles to Accelerate Health Information Flow and Uptake Among Older Adults","year":2024,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Mental Health Association; Columbia Bible College","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Computer science; Information flow; Flow (mathematics); Gerontology; Data science; Medicine; Mathematics; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2179596,0.001632799,0.001337577,0.01080571,0.005582599,0.0138979,0.006713883,0.009610909,0.005667836],"category_scores_gemma":[0.2700419,0.001410295,0.002469878,0.003913961,0.007458451,0.009794054,0.01970311,0.01191813,0.001360877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02183904,"about_ca_system_score_gemma":0.1503478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395855,"about_ca_topic_score_gemma":0.04868185,"domain_scores_codex":[0.8128076,0.1123195,0.01606739,0.004550864,0.04737831,0.006876472],"domain_scores_gemma":[0.756799,0.1425612,0.01840764,0.008415109,0.05818221,0.01563485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002481814,0.004213609,0.01896807,0.01990212,0.0007113824,0.0006057528,0.01684981,0.003694662,0.0008492342,0.1292876,0.1003733,0.7042962],"study_design_scores_gemma":[0.001417369,0.003069401,0.03533201,0.1452067,0.001383035,0.0006508728,0.02283004,0.003290149,0.00575215,0.1607906,0.6198652,0.0004124664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01898527,0.02448544,0.09362909,0.6768765,0.004211829,0.01602895,0.0007510112,0.0007663624,0.1642655],"genre_scores_gemma":[0.2634793,0.02798177,0.5641603,0.1155654,0.001907851,0.01616861,0.0006015127,0.0001684307,0.009966788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2179596,"threshold_uncertainty_score":0.9643951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05917352729153747,"score_gpt":0.3932183371302795,"score_spread":0.3340448098387421,"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."}}