{"id":"W3197095260","doi":"10.2196/28998","title":"Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health; National Science Foundation","keywords":"Audit; Metric (unit); Concurrent validity; Electronic health record; Computer science; Health care; Electronic medical record; Medicine; Medical emergency; Nursing; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001439769,0.0001743097,0.0005522524,0.0001823341,0.0002887267,0.0002086553,0.0002463433,0.0001743221,0.0002984615],"category_scores_gemma":[0.0002417257,0.0001547722,0.00009415118,0.003413738,0.00003908596,0.0007557317,0.0001997825,0.0004997239,0.0001276664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844665,"about_ca_system_score_gemma":0.0006631099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008281512,"about_ca_topic_score_gemma":0.01150799,"domain_scores_codex":[0.997135,0.00006388342,0.001150372,0.0001744938,0.0008416341,0.0006346194],"domain_scores_gemma":[0.9986043,0.00004821256,0.0005619228,0.0003593584,0.0003740703,0.00005213674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003429326,0.001244818,0.19705,0.002900835,0.001929254,0.00009504322,0.008374137,0.0004081884,0.000001254626,0.1324388,0.06423555,0.5912878],"study_design_scores_gemma":[0.001383832,0.0001408328,0.007757382,0.0002027403,0.000209921,0.000008055053,0.01951372,0.03414659,0.000001837556,0.001334487,0.9348974,0.0004032264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481559,0.0009933625,0.02609603,0.01244758,0.001972687,0.001959033,0.00000469743,0.0006671768,0.00770357],"genre_scores_gemma":[0.9932279,0.0001016454,0.0002421987,0.005269289,0.0008969832,0.0001033602,0.00008674779,0.00001362773,0.00005824714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8706619,"threshold_uncertainty_score":0.6421729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03602453678301801,"score_gpt":0.325436051692146,"score_spread":0.289411514909128,"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."}}