{"id":"W2998559091","doi":"10.1016/j.apmr.2019.11.013","title":"Physical Function and Frailty for Predicting Adverse Outcomes in Older Primary Care Patients","year":2019,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Frailty in Older Adults","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Impact; University of Waterloo; McMaster University","funders":"National Institute on Aging; National Center for Research Resources; Harvard Catalyst","keywords":"Medicine; Logistic regression; Emergency department; Independent living; Gerontology; Physical therapy; Internal medicine; Psychiatry","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":[0.001291657,0.0004955555,0.0006985788,0.001073385,0.0007408307,0.001491586,0.0003952154,0.001144324,0.002278223],"category_scores_gemma":[0.006357998,0.0002665193,0.001089324,0.0009210584,0.0003906666,0.0008881176,0.0008771561,0.001169697,0.0002899277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924447,"about_ca_system_score_gemma":0.0006318788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009371898,"about_ca_topic_score_gemma":0.01714995,"domain_scores_codex":[0.9995258,0.0001482802,0.00006788549,0.00006210009,0.00009328053,0.0001026174],"domain_scores_gemma":[0.9979312,0.0007543325,0.0004601839,0.00009014541,0.0002114599,0.0005526667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001696864,0.00005798522,0.9983155,0.000009963991,0.00007333557,0.00003458354,0.00004978263,0.00004221694,0.00002317236,0.00001109245,0.00008075834,0.001131905],"study_design_scores_gemma":[0.00001625754,0.0001666027,0.9986858,0.00002026018,0.0001052543,0.0001010169,0.000225627,0.0005045507,0.0000125548,0.00006068835,0.0000965041,0.000004918802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976859,0.0008260259,0.0000586705,0.0002070961,0.0000322843,0.000008871667,0.0002240588,0.000003045352,0.0009541425],"genre_scores_gemma":[0.9992878,0.0001935686,0.00005918906,0.00005113576,0.00004287263,0.000005139917,0.0001883017,7.217855e-7,0.0001712456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009371898,"threshold_uncertainty_score":0.01863474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007532562046281045,"score_gpt":0.2719692469062434,"score_spread":0.2644366848599624,"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."}}