{"id":"W4210264071","doi":"10.1109/chase52844.2021.00045","title":"Improving the Performance of Ambulance Emergency Service Using Smart Health Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ambulance service; Computer science; Service (business); Healthcare service; Health care; Medical emergency; Response time; Medicine; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002210109,0.0001198221,0.0001767134,0.00002877675,0.00009261855,0.00001711711,0.0001394031,0.00003327265,0.00002009322],"category_scores_gemma":[0.00001497108,0.00009791138,0.00003532161,0.0004150873,0.0000076416,0.0001985993,0.00006253568,0.0001213689,0.00001052199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058329,"about_ca_system_score_gemma":0.00005544481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007020167,"about_ca_topic_score_gemma":0.00004425752,"domain_scores_codex":[0.9990488,0.00003256774,0.000316119,0.0001157288,0.0001746739,0.0003121266],"domain_scores_gemma":[0.9994377,0.00002815223,0.00006479795,0.0002975711,0.0001095562,0.00006222598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002177785,0.00001679579,0.09344381,0.002758814,0.00005199458,0.000002185275,0.0005218405,0.08059994,0.8212686,0.0001548807,0.0001823649,0.0009965723],"study_design_scores_gemma":[0.0002676116,0.00004847868,0.01073226,0.0005342899,0.00002293358,0.00006701902,0.002005476,0.4570427,0.5281862,0.000005237598,0.0006068184,0.0004809639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839551,0.003833369,0.009106121,0.00003114933,0.002107817,0.0001332056,0.000003569932,0.0001111563,0.0007184594],"genre_scores_gemma":[0.9979773,0.0002135323,0.001400351,0.00002838661,0.0002689639,0.000007650063,0.000001713418,0.00003022158,0.00007183607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3764427,"threshold_uncertainty_score":0.399271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131766114400682,"score_gpt":0.2370083732027665,"score_spread":0.2156907120587597,"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."}}