{"id":"W6885909521","doi":"10.1371/journal.pone.0282467.s004","title":"Charlson comorbidity index.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confounding; Observational study; MEDLINE; Comorbidity; Multivariate analysis; Cardiac surgery; Health care","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000756886,0.0007244394,0.001203048,0.005008725,0.001620877,0.0008872903,0.0009838678,0.0006188402,0.04443986],"category_scores_gemma":[0.005086237,0.000233241,0.0006623297,0.006842728,0.0003268531,0.0007633396,0.0009502934,0.002505195,0.007024959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005185947,"about_ca_system_score_gemma":0.006961062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2121065,"about_ca_topic_score_gemma":0.2550775,"domain_scores_codex":[0.997821,0.0002672059,0.0002946158,0.0004097724,0.0007953816,0.0004119901],"domain_scores_gemma":[0.9972917,0.000275183,0.0008337257,0.0001497529,0.001005592,0.000444021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009622056,0.0004279025,0.4076225,0.002366166,0.0006738317,0.00063243,0.0003475817,0.001382329,0.0004417739,0.003080297,0.4973443,0.08471859],"study_design_scores_gemma":[0.0002385425,0.0001219413,0.7774876,0.00125413,0.000192412,0.0009955571,0.0003291097,0.001622245,0.0001416343,0.002941373,0.2145602,0.000115172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09719898,0.02586703,0.003442026,0.00722916,0.00122375,0.002655528,0.6264765,0.0005727804,0.2353344],"genre_scores_gemma":[0.4825605,0.01956849,0.007134627,0.004499099,0.0006849705,0.007529727,0.3967765,0.0003659065,0.08088017],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9555601,"threshold_uncertainty_score":0.4217438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437776709650995,"score_gpt":0.3624700808678499,"score_spread":0.2186924099027504,"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."}}