{"id":"W4380716285","doi":"10.1161/circ.146.suppl_1.244","title":"Abstract 244: Accelerating AED Use In Out-of-Hospital Cardiac Arrest With Combinations Of First Responder And Drone Delivery To Achieve 5-minute AED Deployment","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; Automated external defibrillator; First responder; Defibrillation; Sudden cardiac arrest; Wilcoxon signed-rank test; Drone; Medical emergency; Emergency medicine; Cardiopulmonary resuscitation; Internal medicine; Resuscitation","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":[0.00173739,0.0005175874,0.0003535751,0.0006304696,0.0002873619,0.0008358971,0.0009820341,0.0004428567,0.003357949],"category_scores_gemma":[0.005726884,0.0002719176,0.0008667454,0.0004387159,0.000240594,0.0005266106,0.0005316619,0.0006565893,0.000439543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003595772,"about_ca_system_score_gemma":0.00444468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07545073,"about_ca_topic_score_gemma":0.06525829,"domain_scores_codex":[0.9991027,0.0002959438,0.00005243824,0.0002568666,0.0001345892,0.0001574687],"domain_scores_gemma":[0.9972784,0.00112483,0.0009077919,0.00009484331,0.0004204279,0.0001737644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004830913,0.0006279242,0.4418607,0.0003256538,0.0004173871,0.0002191475,0.0001673651,0.514962,0.002008985,0.00201735,0.005633221,0.03127719],"study_design_scores_gemma":[0.0001019043,0.001068788,0.1813225,0.00009825145,0.0002780087,0.0001676729,0.0003111805,0.8108039,0.001763997,0.0009352844,0.003105145,0.00004325524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628965,0.0002108282,0.02822378,0.001165096,0.00007275632,0.0003101696,0.003333905,0.0003436819,0.00344323],"genre_scores_gemma":[0.9923889,0.00009819595,0.005524827,0.00007680809,0.00001803079,0.0001056533,0.0007813808,0.00001341522,0.0009928468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07545073,"threshold_uncertainty_score":0.1500231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029025970021278,"score_gpt":0.2568497439161094,"score_spread":0.2278237738948314,"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."}}