{"id":"W4408862997","doi":"10.1109/icce63647.2025.10930164","title":"Intelligent Drones for Transforming Emergency Medical Response and Hospital Operations","year":2025,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Drone; Computer science; Emergency response; Disaster response; Medical emergency; Aeronautics; Computer security; Emergency management; Medicine; Engineering; Political science","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":[0.0002268874,0.0005101691,0.0001916198,0.000510436,0.000243103,0.0009524889,0.000360896,0.0004883054,0.00237298],"category_scores_gemma":[0.0007006594,0.0001203676,0.0001959564,0.0002479134,0.0003547671,0.0009586014,0.001059358,0.0005915606,0.001162841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181759,"about_ca_system_score_gemma":0.0002927802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006908,"about_ca_topic_score_gemma":0.001131132,"domain_scores_codex":[0.9997577,0.00005916305,0.00001549937,0.00004423469,0.0001021043,0.00002125608],"domain_scores_gemma":[0.999787,0.00005778706,0.00002844822,0.00003467811,0.00005985871,0.00003214961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000498915,0.0001369307,0.005977481,0.0007607673,0.00008636458,0.0007147408,0.0006449015,0.03246452,0.08730055,0.05378466,0.01876236,0.7988677],"study_design_scores_gemma":[0.000191558,0.0009977116,0.007464431,0.0006043085,0.000182165,0.002270986,0.001285104,0.2415613,0.06799854,0.0402763,0.6370168,0.0001508862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09179937,0.01756946,0.7710709,0.003954488,0.001835414,0.0004271765,0.0007328043,0.004697288,0.1079132],"genre_scores_gemma":[0.8072907,0.009658659,0.1578764,0.001249947,0.0004691727,0.0001391303,0.000757424,0.0001235878,0.02243502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00237298,"threshold_uncertainty_score":0.007938385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188245309482322,"score_gpt":0.3677505879879474,"score_spread":0.3458681348931242,"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."}}