{"id":"W4400945784","doi":"10.1109/itec60657.2024.10598994","title":"AI-Powered Video Monitoring: Assessing the NVIDIA Jetson Orin Devices for Edge Computing Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Edge computing; Embedded system; Computer hardware; Computer graphics (images); Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002770679,0.000168049,0.0001291055,0.00006880801,0.0006400506,0.0009543478,0.001104252,0.00005049375,0.000003551346],"category_scores_gemma":[0.0000196631,0.0001223578,0.00008935497,0.0009539683,0.00004895253,0.0007586683,0.0002951748,0.0002133512,0.00006533088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006966419,"about_ca_system_score_gemma":0.00006959814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004585494,"about_ca_topic_score_gemma":0.000004129568,"domain_scores_codex":[0.9985586,0.0000343351,0.0002884723,0.0005850443,0.0001844967,0.0003490441],"domain_scores_gemma":[0.9978351,0.001191836,0.00007393816,0.0007180465,0.0001008898,0.00008016815],"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":[0.000001067211,0.00004734032,0.0004850959,0.00007873598,0.00003619098,0.000001757339,0.0004236939,0.002557308,0.003883836,0.4500616,0.004301077,0.5381224],"study_design_scores_gemma":[0.0001100336,0.00002140056,0.001687409,0.00008154422,0.00002241477,0.00001570358,0.0001280907,0.4672603,0.005000101,0.02564337,0.4997217,0.0003078851],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006974666,0.001350158,0.9852469,0.008963339,0.0005459784,0.0008397936,0.00000221326,0.0008838078,0.00147036],"genre_scores_gemma":[0.7837673,0.00002502009,0.21407,0.0005092285,0.0008139848,0.0005156319,0.000004432699,0.00002408189,0.0002702673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7830698,"threshold_uncertainty_score":0.9202797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04174176386121849,"score_gpt":0.3702598356202252,"score_spread":0.3285180717590068,"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."}}