{"id":"W4288457181","doi":"10.1136/bmjmed-2022-000247","title":"Measuring multimorbidity in research: Delphi consensus study","year":2022,"lang":"en","type":"article","venue":"BMJ Medicine","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":236,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute for Health Research Applied Research Collaboration West; NIHR Leicester Biomedical Research Centre; Nanyang Technological University; National University of Singapore; Peking University; National Institute for Health Research Health Protection Research Unit; National Institute for Health and Care Research; Health Data Research UK; Johns Hopkins University; Université de Sherbrooke; University of Otago","keywords":"Comparability; Delphi method; Medicine; Consistency (knowledge bases); Delphi; Family medicine; Statistics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3510782,0.001618013,0.001595277,0.006283646,0.005876905,0.005618563,0.003285449,0.00332922,0.003372276],"category_scores_gemma":[0.2588578,0.001733483,0.002356825,0.004403373,0.007123131,0.006825086,0.01831159,0.004965901,0.000854403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0115574,"about_ca_system_score_gemma":0.04127195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044536,"about_ca_topic_score_gemma":0.00301997,"domain_scores_codex":[0.57392,0.368881,0.02041808,0.00634295,0.02117262,0.009265385],"domain_scores_gemma":[0.7330291,0.1758466,0.01128481,0.009966299,0.06304298,0.006830074],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001061261,0.0009605332,0.02956567,0.01004087,0.0005471082,0.0007084608,0.6237124,0.00545346,0.004436725,0.03459182,0.01614971,0.272772],"study_design_scores_gemma":[0.0008518575,0.002934446,0.03052011,0.01704806,0.0003692399,0.001151729,0.7680719,0.01931703,0.005483293,0.05517891,0.0983623,0.0007111158],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5530851,0.003758676,0.2822956,0.02409593,0.001206165,0.08692947,0.0009150414,0.0003485756,0.04736532],"genre_scores_gemma":[0.7052097,0.002020546,0.2325414,0.00328807,0.0001257039,0.05455545,0.0004477612,0.00008748956,0.001723853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6489218,"threshold_uncertainty_score":0.8002362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6843520129801537,"score_gpt":0.5326763030399362,"score_spread":0.1516757099402175,"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."}}