{"id":"W3217297809","doi":"10.1186/s12877-021-02588-x","title":"Knowledge translation strategies for sharing evidence-based health information with older adults and their caregivers: findings from a persona-scenario method","year":2021,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Persona Design and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University; Impact","funders":"","keywords":"Persona; Context (archaeology); Knowledge translation; Medicine; Qualitative research; Health care; Patient portal; Gerontology; Nursing; Medical education; Knowledge management; Computer science; Sociology","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":[0.0295868,0.001051761,0.0006150503,0.002229123,0.005816302,0.003238787,0.001810002,0.001979684,0.004790832],"category_scores_gemma":[0.04990171,0.0007289828,0.001004891,0.001438683,0.002387093,0.004416004,0.007107393,0.001365092,0.0006378438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003453351,"about_ca_system_score_gemma":0.004923984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426844,"about_ca_topic_score_gemma":0.005112631,"domain_scores_codex":[0.9732881,0.02344678,0.000887956,0.0007774798,0.0008539442,0.0007457559],"domain_scores_gemma":[0.9555715,0.03641739,0.002034688,0.001739274,0.002934708,0.001302343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000349941,0.00131638,0.0191799,0.00098225,0.00005019045,0.001975036,0.9265572,0.0004095923,0.0008292003,0.001623028,0.0009112179,0.04581607],"study_design_scores_gemma":[0.0002472132,0.001268582,0.009773682,0.001062602,0.0001036587,0.001589711,0.9611811,0.002233112,0.002285268,0.002279147,0.01787789,0.00009803675],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819812,0.0002553228,0.0102295,0.0007140975,0.00001874955,0.00244395,0.0001919987,0.00003798278,0.004127274],"genre_scores_gemma":[0.9774227,0.0005687767,0.01648661,0.0002756606,0.000007789403,0.003774302,0.0001534942,0.00002307367,0.001287513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0295868,"threshold_uncertainty_score":0.1564718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07913848801051,"score_gpt":0.3013380401707312,"score_spread":0.2221995521602212,"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."}}