{"id":"W7128678391","doi":"10.1109/gitcon65266.2025.11378302","title":"ABHAYA - Secure Communication Device for Women Safety","year":2025,"lang":"","type":"article","venue":"","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Encryption; Feature (linguistics); Wearable computer; Key (lock); Usability; Wearable technology; Simple (philosophy)","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":[0.0003001132,0.0007717638,0.0003616652,0.0007110541,0.001251615,0.000749419,0.0007503969,0.001203281,0.02844876],"category_scores_gemma":[0.0006454979,0.0002206928,0.0004264891,0.0004033277,0.0003714554,0.0009851444,0.001716884,0.0007208848,0.01131476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002197924,"about_ca_system_score_gemma":0.0007081733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004374987,"about_ca_topic_score_gemma":0.0004654211,"domain_scores_codex":[0.9995925,0.00007559637,0.00002154889,0.00007575565,0.000167621,0.0000670031],"domain_scores_gemma":[0.9997429,0.00005578635,0.00002792609,0.00003675639,0.00008725718,0.00004945245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007410842,0.0002539507,0.00418821,0.001159412,0.00003902009,0.002090267,0.001755009,0.0003981684,0.1441628,0.02482426,0.07715923,0.7432286],"study_design_scores_gemma":[0.0001646325,0.001250543,0.008008217,0.000513928,0.0001238768,0.01060174,0.001134242,0.003488862,0.07119337,0.005461005,0.8979144,0.0001453065],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1503066,0.02639868,0.3127147,0.009356024,0.008582594,0.001467835,0.002203041,0.008481342,0.4804891],"genre_scores_gemma":[0.5081491,0.009592202,0.1045928,0.004139238,0.00128407,0.001731841,0.001306109,0.0004174126,0.3687872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02844876,"threshold_uncertainty_score":0.09517056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007582982808136064,"score_gpt":0.2474014781463529,"score_spread":0.2398184953382168,"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."}}