{"id":"W3201244245","doi":"10.2196/26017","title":"User-Centered System Design for Communicating Clinical Laboratory Test Results: Design and Evaluation Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; National Institutes of Health; Florida State University","keywords":"Test (biology); Computer science; Jargon; Context (archaeology); Human–computer interaction; Comprehension; User-centered design","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.02714637,0.001166446,0.0007443712,0.001246959,0.000751244,0.001928009,0.001234703,0.001291734,0.002128947],"category_scores_gemma":[0.04253761,0.0006377365,0.0008869915,0.0005894807,0.001183992,0.001867156,0.001212276,0.0006595125,0.0003907603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385708,"about_ca_system_score_gemma":0.001782168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106005,"about_ca_topic_score_gemma":0.001063346,"domain_scores_codex":[0.9762946,0.01876564,0.00151582,0.0008753558,0.001904104,0.0006445599],"domain_scores_gemma":[0.9406825,0.04051321,0.002293932,0.00244545,0.01265218,0.001412647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01147509,0.01928959,0.09853067,0.01349773,0.0011286,0.001944149,0.09660132,0.02215339,0.1040554,0.004743093,0.004369071,0.6222119],"study_design_scores_gemma":[0.01196551,0.2472133,0.2060109,0.004501571,0.005546715,0.005742423,0.04486988,0.2151537,0.1977611,0.004801085,0.05490417,0.001529559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8793975,0.0004837119,0.108283,0.0001689463,0.00005127904,0.00933932,0.0001205605,0.0004887356,0.001666978],"genre_scores_gemma":[0.7549373,0.0003978676,0.2335873,0.0001792106,0.00003048221,0.009376002,0.0002076989,0.000081607,0.001202414],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02714637,"threshold_uncertainty_score":0.1435654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4054274415189331,"score_gpt":0.5574236131631435,"score_spread":0.1519961716442104,"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."}}