{"id":"W3190044304","doi":"10.15626/ishimr.2020.10","title":"Classifying Health Information Interactions and their Motivations: A Study with Older Adults and Electronic Patient Portals","year":2022,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia","keywords":"Patient portal; Stakeholder; Electronic health record; Health records; Health care; Knowledge management; Health information; Health professionals; Electronic medical record; Information system; Computer science; Medical record; Medical information; Classification scheme; Business; Internet privacy; Medicine; Data science; Public relations; Engineering; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007937123,0.0003335152,0.0006993549,0.001558334,0.004791087,0.004417313,0.0005959935,0.001676543,0.002542518],"category_scores_gemma":[0.01940724,0.0007262207,0.000678079,0.001309735,0.001797615,0.004743491,0.004093595,0.002966915,0.0003976344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001268927,"about_ca_system_score_gemma":0.001779126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01011986,"about_ca_topic_score_gemma":0.01665826,"domain_scores_codex":[0.9967237,0.001520566,0.0003746637,0.000292807,0.0005185262,0.0005698259],"domain_scores_gemma":[0.9882572,0.00610873,0.002439233,0.0003536072,0.001077256,0.001763995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001402542,0.001567797,0.3772786,0.0001129131,0.00003350213,0.0003229023,0.6078198,0.00001843752,0.0003707549,0.0004610106,0.0004579223,0.01141609],"study_design_scores_gemma":[0.00003833294,0.0007441358,0.2711884,0.0001220993,0.00002947675,0.0003716982,0.724018,0.0002773206,0.0001269176,0.0003058972,0.002742848,0.00003483686],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991032,0.00006998978,0.00006767848,0.0002024117,0.000004086965,0.00003796694,0.00002162699,0.000001163007,0.0004918977],"genre_scores_gemma":[0.9983553,0.0001960285,0.0002958348,0.0004388799,0.00001108997,0.00009212852,0.00004326592,0.000003837026,0.0005636655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01011986,"threshold_uncertainty_score":0.04197598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02329541453331163,"score_gpt":0.3621599471173444,"score_spread":0.3388645325840328,"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."}}