{"id":"W4414464276","doi":"10.1109/acdsa65407.2025.11166298","title":"Optimizing Medical Response Time through Deep Learning Based Accident Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Accident (philosophy); Deep learning; Intervention (counseling); Law enforcement; Accident investigation; Emergency response; Response time","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":[0.0008225722,0.0008192596,0.0005067738,0.0006358066,0.0002347389,0.0005449714,0.0007758507,0.0008007521,0.00218894],"category_scores_gemma":[0.003214248,0.0003077988,0.0004084077,0.0003666712,0.0002227137,0.0007185884,0.0005131304,0.001220055,0.0006333517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000643233,"about_ca_system_score_gemma":0.001111227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005378266,"about_ca_topic_score_gemma":0.006258012,"domain_scores_codex":[0.9995413,0.00008979537,0.00002824852,0.0001149031,0.0001102642,0.0001156328],"domain_scores_gemma":[0.9989729,0.0005329394,0.0001135857,0.00006920684,0.000231294,0.00008005932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000841647,0.001098421,0.01409008,0.0001991808,0.0001646563,0.0001718074,0.00007663082,0.4981554,0.02541257,0.001289157,0.009546268,0.4489541],"study_design_scores_gemma":[0.00001313602,0.00006976559,0.001116791,0.000005972362,0.00001665167,0.00003167172,0.00000983171,0.993862,0.003832891,0.0005289381,0.0005057717,0.000006506027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.318349,0.001220588,0.666305,0.001240668,0.0003797879,0.0001266945,0.0006033538,0.007817063,0.003957838],"genre_scores_gemma":[0.9235498,0.0001908753,0.07267305,0.0002845137,0.00009411742,0.000063156,0.0005621652,0.0001338375,0.002448445],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005378266,"threshold_uncertainty_score":0.01069397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004496256905174264,"score_gpt":0.224984610335058,"score_spread":0.2204883534298837,"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."}}