{"id":"W3132752934","doi":"10.1016/j.resuscitation.2021.02.028","title":"Machine learning-based dispatch of drone-delivered defibrillators for out-of-hospital cardiac arrest","year":2021,"lang":"en","type":"article","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Toronto","funders":"ZOLL Medical Corporation","keywords":"Medicine; Drone; Medical emergency; Emergency medicine","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":[0.0002733624,0.0001426473,0.0004406305,0.0001088405,0.00006961473,0.00001104232,0.00003775037,0.0001145573,0.000009901079],"category_scores_gemma":[0.0008492363,0.0001367296,0.0003663607,0.0002947573,0.00008583038,0.00007629797,0.00001821589,0.0001039433,0.000006423089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006496806,"about_ca_system_score_gemma":0.0002305686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005429659,"about_ca_topic_score_gemma":0.00002337476,"domain_scores_codex":[0.998661,0.00009711019,0.0004067064,0.0002686934,0.0003789099,0.0001876047],"domain_scores_gemma":[0.9983527,0.0003632893,0.0002549236,0.0002300219,0.0007099135,0.00008915389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003196566,0.0008495065,0.7193754,0.004436607,0.001254884,0.00003124362,0.00624755,0.01407761,0.22566,0.003560286,0.003715349,0.01759491],"study_design_scores_gemma":[0.01455044,0.00248308,0.6791713,0.0017363,0.001944938,7.304183e-7,0.004454887,0.03255672,0.2269743,0.001733241,0.03326365,0.001130347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838587,0.001023428,0.005961833,0.0007555681,0.006527341,0.0007413745,0.0001599941,0.00005692549,0.0009148183],"genre_scores_gemma":[0.9956776,0.0001089231,0.00276966,0.00001663268,0.000310671,0.00002579661,0.0009665649,0.00003292558,0.0000912164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04020414,"threshold_uncertainty_score":0.5575669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151356646576021,"score_gpt":0.2691991433369784,"score_spread":0.2576855768712182,"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."}}