{"id":"W2344664611","doi":"10.1093/ageing/afw057","title":"Screening for grades of frailty using electronic health records: where do we go from here?","year":2016,"lang":"en","type":"letter","venue":"Age and Ageing","topic":"Frailty in Older Adults","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Health records; Electronic health record; Gerontology; Health care","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":[],"consensus_categories":[],"category_scores_codex":[0.005023277,0.0005560966,0.001624959,0.001443346,0.003986825,0.004591091,0.001362233,0.03186108,0.006899138],"category_scores_gemma":[0.04558799,0.0007570195,0.00129018,0.001226821,0.002116187,0.008240999,0.002536398,0.03091213,0.003484515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003996361,"about_ca_system_score_gemma":0.007920676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578872,"about_ca_topic_score_gemma":0.02668057,"domain_scores_codex":[0.994265,0.001938413,0.001422945,0.0004243785,0.001269959,0.00067932],"domain_scores_gemma":[0.9777205,0.008396337,0.002893702,0.0005310684,0.004675642,0.005782778],"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":[0.00008589919,0.0001710933,0.02637924,0.0002730868,0.00005092831,0.004056912,0.0007423545,0.00006213316,0.0002111079,0.002244938,0.9015976,0.06412477],"study_design_scores_gemma":[0.0007120186,0.000622052,0.05952626,0.01454128,0.0003495627,0.02300371,0.01287171,0.002169784,0.0004127792,0.02945727,0.8558769,0.0004566938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006300167,0.001120085,0.00005530422,0.9933196,0.003775087,0.00000681251,0.00003962616,0.00000891634,0.001044497],"genre_scores_gemma":[0.01069177,0.004410448,0.0005761466,0.9456679,0.03597765,0.00006046873,0.00008244863,0.00001805954,0.002515081],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03186108,"threshold_uncertainty_score":0.03139365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242204141736804,"score_gpt":0.314651526143596,"score_spread":0.2622294847262279,"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."}}