{"id":"W7125506836","doi":"10.18280/jesa.581204","title":"Embedded Wearable IoT System for Child Safety Based on Hybrid Deep Learning Classification","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Deep learning; Wearable computer; Internet of Things; Key (lock); Wearable technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002231628,0.0006868035,0.0006451599,0.0004648281,0.0002593946,0.0003746133,0.0008752571,0.0007264834,0.004997298],"category_scores_gemma":[0.0003118021,0.0002399096,0.0004110742,0.0003453228,0.0001341411,0.0005219589,0.0007296837,0.0004972154,0.001475056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623278,"about_ca_system_score_gemma":0.0004633655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785013,"about_ca_topic_score_gemma":0.004282072,"domain_scores_codex":[0.9997576,0.00002855875,0.00001531839,0.00007330457,0.00007444566,0.0000506751],"domain_scores_gemma":[0.9998288,0.00003252416,0.00001915134,0.00001841758,0.00007346537,0.00002755963],"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":[0.001768438,0.001252847,0.02842154,0.0005571235,0.0002703586,0.00142691,0.000262136,0.01376784,0.1430175,0.001257248,0.02076592,0.7872321],"study_design_scores_gemma":[0.0003119588,0.002021192,0.04763908,0.0002231343,0.000493487,0.002502891,0.0003100922,0.8055844,0.1198,0.003366963,0.01756088,0.0001858238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3326653,0.002586553,0.6321751,0.0010117,0.001177969,0.0002991577,0.001827013,0.009772083,0.01848522],"genre_scores_gemma":[0.9134822,0.0007447394,0.07120502,0.0007749285,0.0001580291,0.000219517,0.001096071,0.0001142836,0.01220514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004997298,"threshold_uncertainty_score":0.01671755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195600425911451,"score_gpt":0.2394835087564735,"score_spread":0.227527504497359,"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."}}