{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004337211,0.00008868073,0.000157637,0.0001318919,0.0001147652,0.00001224383,0.00005287254,0.00008102896,0.0005558964],"category_scores_gemma":[0.00159952,0.0000730071,0.0000651564,0.0001519764,0.00004696022,0.00005099287,0.00002373401,0.00008156339,0.000005644677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005524927,"about_ca_system_score_gemma":0.0003385703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000912228,"about_ca_topic_score_gemma":0.0001996511,"domain_scores_codex":[0.9992137,0.00002474834,0.0002527121,0.0002037862,0.0001578273,0.0001472031],"domain_scores_gemma":[0.9992934,0.0003556633,0.000008275111,0.0001367687,0.00008489467,0.000120936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005421469,0.004160499,0.03310689,0.002287014,0.0009769932,0.0001258981,0.01484006,0.0001372665,0.02271879,0.07571947,0.4083341,0.4321715],"study_design_scores_gemma":[0.005019112,0.002022458,0.02669653,0.001017663,0.0005408974,0.00002908923,0.002245812,0.03142332,0.05190839,0.001297818,0.8772413,0.0005576374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5237091,0.0005068894,0.1063271,0.3678916,0.0004427214,0.0008018162,0.000005425929,0.00008753038,0.0002277318],"genre_scores_gemma":[0.9796739,0.0006096911,0.002485489,0.01105241,0.00008882971,0.0001968531,0.00001173308,0.00001481664,0.005866278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4689071,"threshold_uncertainty_score":0.6086676,"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."}}