{"id":"W2524181074","doi":"10.1093/ageing/afw159.164","title":"175 TRANSLATING NEW TECHNOLOGY INTO CLINICAL PRACTICE: SHOULD A DIRECT MEASURE OF CEREBRAL PERFUSION BE USED IN SYNCOPE AND FALLS ASSESSMENT?","year":2016,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging","funders":"","keywords":"Medicine; Syncope (phonology); Clinical Practice; Measure (data warehouse); Cerebral perfusion pressure; Cardiology; Intensive care medicine; Perfusion; Internal medicine; Physical therapy; Data mining","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":[0.02551309,0.0005372213,0.001075915,0.001707499,0.000633678,0.003832316,0.001506956,0.002079397,0.003082533],"category_scores_gemma":[0.09928094,0.0003502551,0.0004319001,0.001713263,0.002302699,0.002423254,0.001201551,0.001316854,0.001953482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002787566,"about_ca_system_score_gemma":0.004926083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0213288,"about_ca_topic_score_gemma":0.03263127,"domain_scores_codex":[0.9854291,0.006101839,0.002262641,0.0008599602,0.004946511,0.0003999022],"domain_scores_gemma":[0.9569333,0.01568239,0.00602134,0.001969267,0.0177351,0.001658703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005123013,0.0002699246,0.4795158,0.002314498,0.0002492886,0.0006387192,0.00218425,0.0005375971,0.002516484,0.001458031,0.02611531,0.483688],"study_design_scores_gemma":[0.0002119991,0.001882833,0.8990529,0.006561114,0.0003648031,0.002482881,0.008101988,0.007547225,0.002269046,0.01109443,0.06026346,0.0001673042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5638465,0.0934554,0.04013836,0.2158927,0.008416881,0.001733939,0.002230036,0.001049367,0.07323665],"genre_scores_gemma":[0.9280218,0.01559649,0.03569327,0.01534251,0.001879458,0.0006250516,0.000411496,0.0000939829,0.002335911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02551309,"threshold_uncertainty_score":0.1349277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3426755962615294,"score_gpt":0.482578252748992,"score_spread":0.1399026564874626,"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."}}