{"id":"W3136010077","doi":"10.1016/j.jpainsymman.2021.03.005","title":"Combining Multiple Decedent Data Sources for a Population-Based Picture of End-of-Life Healthcare Utilization","year":2021,"lang":"en","type":"article","venue":"Journal of Pain and Symptom Management","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Academic Affiliations, Department of Veterans Affairs","keywords":"Medicine; Health care; Population; Family medicine; Medical emergency; Health information technology; Quarter (Canadian coin); Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006552754,0.0005150256,0.001043158,0.007135523,0.0006435181,0.00302135,0.001003033,0.0008545044,0.001882692],"category_scores_gemma":[0.03238642,0.0004486773,0.001432687,0.01240626,0.0001973387,0.002316272,0.002432371,0.001479083,0.0006390532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158052,"about_ca_system_score_gemma":0.001457686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03047169,"about_ca_topic_score_gemma":0.03615866,"domain_scores_codex":[0.9932842,0.002540859,0.001514316,0.001067943,0.001168357,0.0004243504],"domain_scores_gemma":[0.9747552,0.008124133,0.005614359,0.004158536,0.006427153,0.0009206278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112471,0.00007498851,0.9763723,0.0002600539,0.001176536,0.0001630202,0.0006194397,0.0007275782,0.0004125854,0.000613574,0.005697839,0.01376966],"study_design_scores_gemma":[0.00002167959,0.00007169027,0.9838275,0.0003446391,0.0005077189,0.0004850901,0.002060761,0.00351561,0.0004199343,0.001185323,0.007507841,0.00005224609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7845172,0.003030004,0.01825722,0.003662823,0.0002279138,0.0005276143,0.1833447,0.0001705383,0.00626199],"genre_scores_gemma":[0.8930795,0.0009689472,0.01891186,0.0007925952,0.0000951732,0.0006346102,0.08474234,0.0000539528,0.0007210167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03047169,"threshold_uncertainty_score":0.06058866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1776266691917537,"score_gpt":0.4174694545705535,"score_spread":0.2398427853787998,"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."}}