{"id":"W4387860487","doi":"10.1002/pra2.995","title":"Health Information Use of Older Adults with Diabetes: A Preliminary Analysis","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Thematic analysis; Pandemic; Context (archaeology); Coronavirus disease 2019 (COVID-19); Gerontology; Psychology; Medicine; Diabetes mellitus; Qualitative research; Disease; Sociology; Infectious disease (medical specialty)","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":[0.004538637,0.000189864,0.0004196557,0.002493291,0.00113968,0.001740933,0.0003560124,0.000534448,0.002608676],"category_scores_gemma":[0.01036169,0.0002661465,0.0009735396,0.00218992,0.0004886239,0.001294101,0.002015689,0.0008001301,0.0003466422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009668376,"about_ca_system_score_gemma":0.001764655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009516397,"about_ca_topic_score_gemma":0.01470383,"domain_scores_codex":[0.9983601,0.0005767277,0.000345913,0.0001206024,0.0003104431,0.0002863489],"domain_scores_gemma":[0.9933078,0.003243223,0.001052645,0.0002093274,0.001761422,0.0004255461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002314515,0.0002937172,0.8249411,0.0005306826,0.00007847296,0.0002076755,0.1539648,0.00003548541,0.000673301,0.0001872335,0.0005476384,0.01830852],"study_design_scores_gemma":[0.00001395527,0.0003775557,0.7914678,0.0002486234,0.00006368568,0.0001458326,0.2048185,0.0001414584,0.0002460835,0.00006571486,0.002395034,0.00001569964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997725,0.0001327018,0.00009915695,0.0001343833,0.000004133005,0.0001055987,0.000482243,0.000002071411,0.001314703],"genre_scores_gemma":[0.9974924,0.0003465943,0.0004701402,0.0001322759,0.000009223724,0.0002811792,0.0005935278,0.000003182148,0.0006713751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009516397,"threshold_uncertainty_score":0.02400291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907972125673043,"score_gpt":0.3489532671746005,"score_spread":0.32987354591787,"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."}}