{"id":"W4206302868","doi":"10.1017/9781009039253","title":"Creating a Geriatric Emergency Department","year":2022,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Emergency department; Health care; Resource (disambiguation); Population ageing; Nursing; Best practice; Geriatric care; Face (sociological concept); Medicine; Medical education; Population; Psychology; Computer science; Political science; Sociology","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":[0.002231438,0.0005523265,0.0003215171,0.0007450368,0.002974651,0.004887365,0.0009754736,0.002498879,0.05554037],"category_scores_gemma":[0.004416652,0.0005148138,0.0005790204,0.0004468141,0.001320036,0.004817266,0.007716489,0.003452608,0.01859306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652006,"about_ca_system_score_gemma":0.005135648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011115,"about_ca_topic_score_gemma":0.004619624,"domain_scores_codex":[0.9985327,0.0006487602,0.00006159705,0.0001430753,0.0004313691,0.0001825536],"domain_scores_gemma":[0.9966293,0.0003845722,0.0001125735,0.0001232537,0.0004711704,0.002279073],"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":[0.00000797628,0.00004414019,0.0002923138,0.0001591067,0.000002933484,0.00021572,0.0007937449,0.00003493208,0.000162067,0.006217333,0.947859,0.04421064],"study_design_scores_gemma":[0.00000580839,0.00001871918,0.0002755366,0.0001590915,0.000001481157,0.0003211704,0.0009408848,0.00000784151,0.00002488089,0.0008621599,0.9973795,0.000002969831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006849649,0.03245624,0.006782582,0.1722683,0.063817,0.0003277321,0.0004020582,0.0009411265,0.7161554],"genre_scores_gemma":[0.04760205,0.03602693,0.02973442,0.1388341,0.01457375,0.0007088057,0.0006563482,0.0005135969,0.73135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05554037,"threshold_uncertainty_score":0.185801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813331122772628,"score_gpt":0.2336909168904352,"score_spread":0.2155576056627089,"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."}}