{"id":"W4402307571","doi":"10.18280/ts.410407","title":"Real-Time Vehicle Detection Using YOLOv8-Nano for Intelligent Transportation Systems","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intelligent transportation system; Nano-; Computer science; Real-time computing; Automotive engineering; Transport engineering; Engineering; Chemical engineering","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":[0.0002342546,0.0003734656,0.0003089083,0.000326835,0.0001732885,0.0004998942,0.0006145036,0.0004423319,0.002004139],"category_scores_gemma":[0.0006870911,0.0001812836,0.0003579255,0.0002368393,0.0002182826,0.0005178057,0.0004691909,0.0003958792,0.0006814402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006758338,"about_ca_system_score_gemma":0.0005468808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004843384,"about_ca_topic_score_gemma":0.006675796,"domain_scores_codex":[0.9998977,0.00001192452,0.000004337913,0.00002878464,0.0000416623,0.00001559056],"domain_scores_gemma":[0.9998814,0.00003020599,0.00001484649,0.00001903976,0.00004551965,0.00000895526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003977515,0.0001503086,0.007440553,0.0003154733,0.0001097013,0.0002020381,0.0001209059,0.4455284,0.09925552,0.01115165,0.008650265,0.4266775],"study_design_scores_gemma":[0.000005327834,0.00008890722,0.001262595,0.00001182606,0.00001206257,0.00005153914,0.00001746151,0.9792172,0.01362688,0.001392135,0.004303945,0.00001012583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2121308,0.001523978,0.7665686,0.0005900035,0.0003601632,0.0001057742,0.0005953397,0.004809055,0.01331618],"genre_scores_gemma":[0.8479541,0.0005258502,0.143978,0.0001627304,0.00003385809,0.00009218649,0.0009124169,0.0001542344,0.006186503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004843384,"threshold_uncertainty_score":0.009630382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05452283307262603,"score_gpt":0.2838058786333448,"score_spread":0.2292830455607188,"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."}}