{"id":"W2753234717","doi":"10.1016/j.jpainsymman.2017.08.025","title":"Outcomes That Define Successful Advance Care Planning: A Delphi Panel Consensus","year":2017,"lang":"en","type":"article","venue":"Journal of Pain and Symptom Management","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":360,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; McMaster University; Kingston General Hospital; University of Calgary; Impact; Clinical Evaluation Research Unit","funders":"National Institute of Nursing Research; National Institute on Aging; National Institutes of Health; University of Pittsburgh; University of Washington; Health Services Research and Development; University of Pennsylvania; U.S. Department of Veterans Affairs; University of Alberta; Patient-Centered Outcomes Research Institute; University of California, San Francisco; American Cancer Society; Harvard University; Northwestern University; Kaiser Permanente","keywords":"Medicine; Delphi method; Delphi; Panel discussion; Advance care planning; Consensus conference; MEDLINE; Intensive care medicine; Family medicine; Nursing; Palliative care; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000527894,0.0001445174,0.0004725342,0.0001325088,0.0001171643,0.0000403827,0.0001664053,0.0000428073,0.00001529031],"category_scores_gemma":[0.0002507137,0.0001026695,0.0001297935,0.00002912655,0.0001007669,0.00007337052,0.00007826299,0.0001268411,0.000001349297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004146359,"about_ca_system_score_gemma":0.00002114635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829816,"about_ca_topic_score_gemma":0.000006774543,"domain_scores_codex":[0.9989669,0.00005635459,0.0003494781,0.000124003,0.0003347246,0.0001685649],"domain_scores_gemma":[0.9987133,0.0001768837,0.0005430729,0.0002761484,0.0001662875,0.0001243122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001730408,0.00004806383,0.9801957,0.0005202979,0.0003889825,0.0007377711,0.002049775,0.00001512099,0.00002438241,0.0003108685,0.001895046,0.01364096],"study_design_scores_gemma":[0.003817107,0.0005353583,0.8900471,0.002863748,0.0003699785,0.00004944884,0.02090822,0.0000775156,0.0001860718,0.000199977,0.0807708,0.0001746782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768066,0.01032449,0.0009109217,0.002787851,0.0002721623,0.0001854929,0.000006067815,0.00001075256,0.008695652],"genre_scores_gemma":[0.9936193,0.00188586,0.003297099,0.0005020615,0.0000880836,0.000002304374,0.000002475159,0.00001127823,0.0005914901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0901486,"threshold_uncertainty_score":0.4186742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1393600351966676,"score_gpt":0.4156040969559379,"score_spread":0.2762440617592703,"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."}}