{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002124103,0.0003790848,0.0009381861,0.0001522435,0.0001452486,0.00004588265,0.0001599153,0.0004958758,0.00009482886],"category_scores_gemma":[0.00008156366,0.0003044304,0.000214563,0.0001011474,0.00009077095,0.0001239797,0.00007320302,0.001049407,0.000003682533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506592,"about_ca_system_score_gemma":0.000204194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184586,"about_ca_topic_score_gemma":0.0003680956,"domain_scores_codex":[0.9976813,0.00008822299,0.0005478563,0.0005922332,0.0002959355,0.0007944938],"domain_scores_gemma":[0.9984935,0.000451496,0.0004367377,0.0004514363,0.00006273749,0.0001040866],"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":[0.00009431813,0.00002015733,0.0004723617,0.002641829,0.0004782889,0.002696187,0.0007453533,8.279503e-7,0.002190049,0.00001380536,0.5672771,0.4233697],"study_design_scores_gemma":[0.001911284,0.0004192625,0.000435611,0.0152187,0.0002260172,0.00005184641,0.000144165,0.00008049994,0.0002027432,0.00193109,0.9790002,0.000378624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05391546,0.08662379,0.02270898,0.8329413,0.0006467108,0.002022837,0.0005703627,0.0001836769,0.0003868625],"genre_scores_gemma":[0.1312583,0.04734354,0.09491862,0.6369176,0.04955075,0.0002373336,0.002023584,0.001288784,0.03646151],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4229911,"threshold_uncertainty_score":0.9999408,"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."}}