{"id":"W2020632978","doi":"10.1016/j.ijmedinf.2010.09.009","title":"Model development for EHR interdisciplinary information exchange of ICU common goals","year":2010,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Nursing Research; U.S. National Library of Medicine; U.S. Public Health Service","keywords":"Health informatics; Medicine; Medical emergency; Computer science; Data science; Intensive care medicine; Process management; Nursing; Public health; Business","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":[0.003683537,0.0006217204,0.0004688507,0.00128324,0.0007939341,0.002804182,0.001774205,0.001188718,0.006729883],"category_scores_gemma":[0.01611606,0.0005047373,0.001614296,0.0008153982,0.000531163,0.002458711,0.001665869,0.001414415,0.0008177384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425501,"about_ca_system_score_gemma":0.005328729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02652642,"about_ca_topic_score_gemma":0.02246867,"domain_scores_codex":[0.997436,0.001323295,0.0002070821,0.0002662742,0.0005642858,0.0002030179],"domain_scores_gemma":[0.9934275,0.00433466,0.0002783406,0.0005036637,0.001317493,0.0001384546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002884991,0.000233502,0.006473098,0.0002332712,0.0001440394,0.0003769993,0.0009067241,0.8292713,0.001632606,0.08845728,0.00398654,0.06799621],"study_design_scores_gemma":[0.00002645943,0.00002555807,0.0001755804,0.00002452684,0.00002822176,0.0000273838,0.00009464865,0.9852836,0.001034456,0.01092883,0.002341058,0.000009701019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02904329,0.00005016521,0.9593253,0.0008334801,0.00004159993,0.0004708639,0.0009522813,0.002035936,0.007247052],"genre_scores_gemma":[0.4132432,0.0001155759,0.5803567,0.0001547127,0.00001563123,0.0007484278,0.001857431,0.000262141,0.003246253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02652642,"threshold_uncertainty_score":0.05274403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690771374675323,"score_gpt":0.3700164339056822,"score_spread":0.343108720158929,"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."}}