{"id":"W7115819779","doi":"","title":"USER PERCEPTIONS AND SATISFACTION OF A CUSTOMIZABLE EMR HOMEPAGE","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Thematic analysis; Personalization; Perception; Quality (philosophy); Usage data; User satisfaction; Health care; Qualitative property; Patient satisfaction","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":[0.006448019,0.000206741,0.0004030696,0.0005259941,0.00057887,0.001834767,0.0003940253,0.000588744,0.005942522],"category_scores_gemma":[0.02815114,0.0001730301,0.000496057,0.0003721618,0.000430401,0.001048375,0.0009998898,0.0004351678,0.000827218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004002002,"about_ca_system_score_gemma":0.0003934752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001217856,"about_ca_topic_score_gemma":0.001300545,"domain_scores_codex":[0.9958357,0.002554067,0.0003240479,0.0001896815,0.0008482784,0.0002481867],"domain_scores_gemma":[0.9744791,0.01638011,0.002621727,0.001024143,0.003913417,0.001581362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001513089,0.001321695,0.6716433,0.0009470766,0.0001530659,0.001426034,0.1064874,0.0003843437,0.007498469,0.0003707159,0.005900976,0.2023539],"study_design_scores_gemma":[0.00009455675,0.005820514,0.8080407,0.0003999995,0.0002082642,0.003071582,0.1560659,0.003494437,0.00397381,0.0002368788,0.01842174,0.0001716474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9974588,0.00007607757,0.0006468095,0.0002028816,0.000008002473,0.00004038492,0.0001338905,0.00005695865,0.001376213],"genre_scores_gemma":[0.9961585,0.0001224114,0.002101055,0.0002603592,0.00001214911,0.00006719549,0.0001375224,0.00002576111,0.001115081],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006448019,"threshold_uncertainty_score":0.03410077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077118809644489,"score_gpt":0.3189345586448205,"score_spread":0.2981633705483756,"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."}}