{"id":"W3036937801","doi":"10.1186/s12877-020-01606-8","title":"Predicting non-elective hospital readmission or death using a composite assessment of cognitive and physical frailty in elderly inpatients with cardiovascular disease","year":2020,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Frailty in Older Adults","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Municipal Science and Technology Commission; Chinese Academy of Medical Sciences","keywords":"Medicine; Hazard ratio; Proportional hazards model; Receiver operating characteristic; Internal medicine; Montreal Cognitive Assessment; Stroke (engine); Physical therapy; Mini–Mental State Examination; Prospective cohort study; Cohort; Confidence interval; Disease; Cognitive impairment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009889444,0.0002090539,0.0005253826,0.00009703981,0.00005493796,0.00001776907,0.00005778483,0.00006265175,0.000003030276],"category_scores_gemma":[0.000504596,0.0001629053,0.0001123391,0.0005308054,0.00007071343,0.0001348227,0.00009345151,0.0002525234,4.547028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113784,"about_ca_system_score_gemma":0.0004932726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002286167,"about_ca_topic_score_gemma":0.000008440283,"domain_scores_codex":[0.9983864,0.00008391294,0.0002609065,0.0004438233,0.0005927207,0.0002322066],"domain_scores_gemma":[0.9989064,0.0001885694,0.0001422177,0.0001828317,0.0002251091,0.0003549013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001534841,0.0005411634,0.9904515,0.0005194484,0.0002626744,0.0001672792,0.003603922,0.0007238733,0.000332657,0.000002038947,0.000004571006,0.001856004],"study_design_scores_gemma":[0.007097977,0.003248138,0.8808697,0.0009095846,0.00103517,0.00001275905,0.000987353,0.1050892,0.000507438,0.000008499097,0.000004610101,0.0002294875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872314,0.0001553968,0.01120507,0.00006397644,0.00004066558,0.001152464,0.00005828051,0.00003032265,0.00006246392],"genre_scores_gemma":[0.9922694,0.0000203419,0.007429694,0.00003472196,0.0001424716,0.00002339543,0.00004278615,0.00003236689,0.000004851348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1095818,"threshold_uncertainty_score":0.6643085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387629042690946,"score_gpt":0.3034392725835676,"score_spread":0.2695629821566581,"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."}}