{"id":"W2990940015","doi":"10.3233/shti190303","title":"Usability Across Health Information Technology Systems: Searching for Commonalities and Consistency","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Usability; Computer science; Consistency (knowledge bases); Information retrieval; Data science; Human–computer interaction; 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":[0.1266215,0.0008269512,0.001856836,0.01680889,0.003550903,0.01565819,0.002817381,0.001851573,0.001049936],"category_scores_gemma":[0.3185512,0.001162089,0.002203484,0.01062821,0.01461658,0.01612592,0.01230589,0.00261758,0.0001636013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00834234,"about_ca_system_score_gemma":0.008108485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006162718,"about_ca_topic_score_gemma":0.004683036,"domain_scores_codex":[0.7893387,0.1180774,0.03055326,0.01591534,0.04375857,0.002356796],"domain_scores_gemma":[0.618885,0.2870748,0.0239898,0.03132233,0.03720564,0.001522414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00044672,0.0002514103,0.265702,0.006103517,0.00199588,0.0005300027,0.3464262,0.002551503,0.003152499,0.1080795,0.001845692,0.2629151],"study_design_scores_gemma":[0.0002448671,0.001543789,0.3277419,0.009755054,0.001494777,0.001600303,0.3323149,0.02647479,0.004226195,0.2693264,0.02470209,0.0005749513],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7941725,0.01164638,0.1527142,0.006095999,0.0002594145,0.002126287,0.0004290226,0.000374772,0.03218138],"genre_scores_gemma":[0.9639671,0.0008675745,0.03366525,0.0002758433,0.00004391095,0.0006809481,0.000197337,0.00007546849,0.000226549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1266215,"threshold_uncertainty_score":0.6696464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027542153944032,"score_gpt":0.4948007962840548,"score_spread":0.3920465808896517,"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."}}