{"id":"W2955019644","doi":"10.14283/jfa.2019.12","title":"Proceedings of the Canadian Frailty Network Workshop: Identifying Biomarkers of Frailty to Support Frailty Risk Assessment, Diagnosis and Prognosis. Toronto, January 15, 2018","year":2019,"lang":"en","type":"article","venue":"The Journal of Frailty & Aging","topic":"Frailty in Older Adults","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Université de Sherbrooke; University of Toronto; Dalhousie University; University of Waterloo; Research Institute for Aging; University of Alberta; Queen's University; McMaster University; Jewish General Hospital; Impact; Schwartz/Reisman Emergency Medicine Institute; McGill University","funders":"","keywords":"Medicine; Gerontology; Biomarker","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01217922,0.001931818,0.001104697,0.001813659,0.005445495,0.005736482,0.002818075,0.003589826,0.04956],"category_scores_gemma":[0.01324352,0.0007008998,0.001438222,0.001226019,0.002092579,0.002219869,0.006102798,0.006909202,0.01247202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02284197,"about_ca_system_score_gemma":0.06065006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3835043,"about_ca_topic_score_gemma":0.6954191,"domain_scores_codex":[0.9947879,0.001368968,0.0002164746,0.0005996317,0.002155838,0.0008712077],"domain_scores_gemma":[0.9863836,0.0008711147,0.0002491689,0.0002223473,0.006207198,0.006066541],"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":[0.00003632268,0.00001385665,0.0001644753,0.000118618,0.000007728473,0.00006115378,0.0004214767,0.00005549402,0.00009219585,0.0003900809,0.9828914,0.01574714],"study_design_scores_gemma":[0.00001660183,0.00001769394,0.001510404,0.0006130492,0.00001255456,0.00006505416,0.001023977,0.00005838016,0.00009643289,0.0007844748,0.9957717,0.00002967484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004248541,0.09833802,0.008022837,0.5156689,0.2365713,0.001405591,0.01317636,0.0006632315,0.1219052],"genre_scores_gemma":[0.04855671,0.1749633,0.01642633,0.07668648,0.07288145,0.003003828,0.02119574,0.001533029,0.5847532],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6164957,"threshold_uncertainty_score":0.7625441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790593805522163,"score_gpt":0.3192761633853133,"score_spread":0.2813702253300917,"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."}}