{"id":"W2804767716","doi":"10.1017/cem.2018.397","title":"Geriatric emergency medicine: Research priorities to respond to “The Silver Boom”","year":2018,"lang":"en","type":"editorial","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Schwartz/Reisman Emergency Medicine Institute","funders":"","keywords":"Boom; Medicine; Content (measure theory); Action (physics); Medical emergency; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02706839,0.00543806,0.008165643,0.01040418,0.008261293,0.01866866,0.007178856,0.0451717,0.01486654],"category_scores_gemma":[0.1173192,0.002259316,0.004785914,0.005244311,0.006836842,0.01163494,0.004011427,0.03671374,0.009928639],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01030001,"about_ca_system_score_gemma":0.02343259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008667656,"about_ca_topic_score_gemma":0.02723161,"domain_scores_codex":[0.9788812,0.004774372,0.003676897,0.001910695,0.009235303,0.001521549],"domain_scores_gemma":[0.8195747,0.08754741,0.008487892,0.002932257,0.06291049,0.0185473],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001997791,0.000008853062,0.0000330709,0.0003533619,0.0000227099,0.00004836027,0.00002237857,0.000008403505,0.000008259874,0.0001906477,0.9969943,0.002289712],"study_design_scores_gemma":[0.0002252535,0.00004083132,0.0004727681,0.004004986,0.0002418524,0.0002883589,0.0003557111,0.0001374419,0.00005537447,0.002654792,0.9914591,0.00006343317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001378797,0.007909356,0.00003815657,0.06883869,0.9227356,0.00001138222,0.00003438061,0.00001971864,0.0003988843],"genre_scores_gemma":[0.0001844156,0.006057064,0.00008583249,0.0370756,0.9552307,0.00002080673,0.00002217603,0.00001789428,0.001305473],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9913324,"threshold_uncertainty_score":0.1431531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1072252315107486,"score_gpt":0.4289219358558739,"score_spread":0.3216967043451253,"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."}}