{"id":"W2119647354","doi":"10.1136/jamia.2010.006437","title":"Agreement between common goals discussed and documented in the ICU","year":2010,"lang":"en","type":"article","venue":"Journal of the American Medical Informatics Association","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; National Institute of Nursing Research","keywords":"Documentation; Sedation; Medicine; Health records; Descriptive statistics; Intensive care unit; Medical record; Reliability (semiconductor); Medical emergency; Health care; Nursing; Emergency medicine; Intensive care medicine; Computer science; Statistics","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":[0.0339217,0.0003062875,0.0004654013,0.002811968,0.0004428023,0.001686432,0.0008054061,0.0005235855,0.0007859748],"category_scores_gemma":[0.1563216,0.0002657195,0.0005807982,0.001357705,0.0009465147,0.001727875,0.002844192,0.0007176255,0.0002519207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028116,"about_ca_system_score_gemma":0.001489532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194857,"about_ca_topic_score_gemma":0.001461447,"domain_scores_codex":[0.9327756,0.04027453,0.01139224,0.003686212,0.01059168,0.001279824],"domain_scores_gemma":[0.780052,0.1368378,0.03798499,0.01122097,0.03167378,0.002230495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006781187,0.0001733691,0.8767725,0.0006750361,0.0003245795,0.0001905557,0.02183115,0.001096505,0.001917665,0.0007435285,0.001514683,0.09408218],"study_design_scores_gemma":[0.00004956184,0.0007757191,0.9611765,0.0009793577,0.0001511488,0.0005687815,0.01763044,0.007651354,0.00363454,0.00216001,0.005096538,0.0001259763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808097,0.0006667063,0.01254168,0.0003476383,0.00005911088,0.0002663215,0.0005206232,0.0001683175,0.00461978],"genre_scores_gemma":[0.9935114,0.0001665876,0.00552289,0.00008658264,0.00001278501,0.000122484,0.0003386269,0.00001838782,0.0002202381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0339217,"threshold_uncertainty_score":0.1793973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775070408079543,"score_gpt":0.4187140064906158,"score_spread":0.4009633024098204,"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."}}