{"id":"W3100622295","doi":"10.1161/circ.142.suppl_4.148","title":"Abstract 148: A Machine Learning-based Dispatch Rule for Drone-delivered Defibrillators","year":2020,"lang":"en","type":"article","venue":"Circulation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brampton Civic Hospital; University of Toronto","funders":"","keywords":"Drone; Medicine; Response time; Emergency medical services; Simulation; Medical emergency; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009100608,0.0006942083,0.0005379008,0.0006673195,0.0004340389,0.0007131079,0.0009351532,0.0005263058,0.002218428],"category_scores_gemma":[0.005355635,0.0001777663,0.0003541619,0.0002627554,0.0002315674,0.0004487502,0.0002871061,0.0006596564,0.0009450769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444369,"about_ca_system_score_gemma":0.002222237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03146018,"about_ca_topic_score_gemma":0.02484091,"domain_scores_codex":[0.999478,0.00005714416,0.00006749789,0.0001646886,0.0001745722,0.00005807573],"domain_scores_gemma":[0.9984554,0.0004750488,0.0002228604,0.00007778002,0.0007069761,0.00006198036],"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":[0.0008479917,0.0004415847,0.1387607,0.0003422828,0.000164445,0.0008602595,0.0002365965,0.507135,0.01606472,0.002030511,0.03462311,0.2984929],"study_design_scores_gemma":[0.00006755125,0.0002143088,0.02763176,0.00008787277,0.00007803679,0.0002658138,0.00005162061,0.9538883,0.01080293,0.001211864,0.005663635,0.00003624537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6508417,0.0005275551,0.3202669,0.002124157,0.0004231939,0.0007901622,0.006437518,0.005051225,0.01353773],"genre_scores_gemma":[0.9480479,0.00008545219,0.04556889,0.000198407,0.0000553577,0.0001240288,0.002855574,0.00005900782,0.003005442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03146018,"threshold_uncertainty_score":0.06255412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938717710947558,"score_gpt":0.2642649432409226,"score_spread":0.244877766131447,"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."}}