{"id":"W3025511516","doi":"10.3233/shti190140","title":"Context and Meaning in EHR Displays","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Meaning (existential); Context (archaeology); Computer science; World Wide Web; Psychology; History; Psychotherapist","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005111695,0.0001153239,0.0003623727,0.0009073871,0.0001269217,0.00003141154,0.00008759256,0.00009595831,0.000003702705],"category_scores_gemma":[0.0001719572,0.00009785627,0.00001077039,0.0009108467,0.000155713,0.0006110104,0.0002492703,0.0002344336,0.00001427104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002414669,"about_ca_system_score_gemma":0.00001334309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001327834,"about_ca_topic_score_gemma":0.0002921987,"domain_scores_codex":[0.9990381,0.000003254425,0.000527053,0.0001079407,0.00007320201,0.0002504202],"domain_scores_gemma":[0.9995562,0.00003645843,0.0002173639,0.0001121789,0.00007236313,0.000005429908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001726434,0.00002705252,0.747295,0.0050307,0.00003332721,0.000002345859,0.002582402,0.0002902945,0.000001130715,0.1541207,0.0001607699,0.09043898],"study_design_scores_gemma":[0.005271081,0.0001197016,0.0366311,0.005647033,0.00006500683,0.00002572791,0.2335656,0.4789698,0.000007955516,0.2011431,0.03735819,0.001195716],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984475,0.007531452,0.0001620181,0.004702012,0.0001553598,0.0002034953,6.280304e-7,0.00008587055,0.002684142],"genre_scores_gemma":[0.9949957,0.002649878,0.000285003,0.001997479,0.00002375165,0.00001470838,0.000002019662,0.000005616539,0.0000258797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7106639,"threshold_uncertainty_score":0.3990463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084580176531073,"score_gpt":0.2978856096424813,"score_spread":0.2670398078771706,"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."}}