{"id":"W4391224199","doi":"10.3233/shti231123","title":"Tabular, Annotated, Visual, or Trends + Contextual Information? Preferences for Online Laboratory Results Displays","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wilcoxon signed-rank test; Computer science; Test (biology); Interpretability; Terminology; Pairwise comparison; Psychology; Information retrieval; Human–computer interaction; Applied psychology; Artificial intelligence","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":[0.003921406,0.0002141341,0.0002125717,0.0004319972,0.0002977863,0.001867513,0.000208038,0.0008003855,0.006373652],"category_scores_gemma":[0.02755927,0.0001484747,0.0004797328,0.0002827917,0.0003644891,0.001480216,0.0006817862,0.0004801631,0.0006093662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002031,"about_ca_system_score_gemma":0.0001687977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027909,"about_ca_topic_score_gemma":0.001384619,"domain_scores_codex":[0.9976987,0.001374665,0.0002029469,0.0001276908,0.0004257543,0.0001702607],"domain_scores_gemma":[0.9821455,0.01412568,0.001451084,0.0004883104,0.001169248,0.0006200611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005078356,0.0008825684,0.5246141,0.003091659,0.0004363557,0.002101888,0.12148,0.001102136,0.04187046,0.004177322,0.010483,0.284682],"study_design_scores_gemma":[0.0003981829,0.005781374,0.6107371,0.001799548,0.0006163471,0.006267867,0.2688191,0.006635712,0.01151828,0.004275266,0.08263661,0.0005146758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888882,0.0004843444,0.002731567,0.0007030872,0.00005713788,0.00006260115,0.0001928817,0.00005196369,0.006828099],"genre_scores_gemma":[0.9951315,0.0003268513,0.003080904,0.0003375658,0.00003329905,0.00004577195,0.00009007425,0.00002626946,0.0009278032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006373652,"threshold_uncertainty_score":0.02132195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106409954160453,"score_gpt":0.5242339136876624,"score_spread":0.4135929182716171,"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."}}