{"id":"W3203402385","doi":"10.1002/pds.5368","title":"Multimorbidity measures from health administrative data using <scp>ICD</scp> system codes: A systematic review","year":2021,"lang":"en","type":"review","venue":"Pharmacoepidemiology and Drug Safety","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Excellence in Mining Innovation; McGill University; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Multimorbidity; Confounding; Pharmacoepidemiology; Data extraction; Population; MEDLINE; Environmental health; Medical prescription; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02306662,0.001719847,0.007656438,0.02001172,0.0007796171,0.003068044,0.002521367,0.001732804,0.002394169],"category_scores_gemma":[0.1346013,0.001312959,0.009508472,0.01752508,0.00121732,0.003249585,0.002214791,0.00133159,0.000245045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005578451,"about_ca_system_score_gemma":0.01893077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250849,"about_ca_topic_score_gemma":0.02695218,"domain_scores_codex":[0.9731572,0.009711595,0.01043714,0.001677863,0.004572473,0.0004437123],"domain_scores_gemma":[0.8705684,0.09819524,0.02130037,0.00185786,0.007567756,0.0005103961],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001162095,0.00001336947,0.002922806,0.9479778,0.009731352,0.0000500196,0.0002693196,0.000128796,0.00008297294,0.0003207214,0.001577196,0.03680949],"study_design_scores_gemma":[0.0001355137,0.0001165406,0.01131769,0.9312027,0.04346441,0.0002242398,0.0003617657,0.0001638318,0.0002014532,0.0005093091,0.01225408,0.00004852287],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002046075,0.994746,0.0005182465,0.0004148392,0.0001146982,0.00055701,0.001305746,0.00001452718,0.0002829646],"genre_scores_gemma":[0.03653046,0.955396,0.003233758,0.0008353205,0.000157377,0.002436494,0.001298601,0.00001396494,0.00009799364],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9769334,"threshold_uncertainty_score":0.1219894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4034513503813016,"score_gpt":0.5200667550630061,"score_spread":0.1166154046817046,"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."}}